diff --git a/.gitignore b/.gitignore
index 6ff4b95..7d7ff11 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,6 +4,8 @@ app/src/logs.log
 app/src/best_model.pkl
 app/src/dataset.csv
 
+frontend/.eslintrc.json
+
 .DS_Store
 
 __pycache__/
@@ -13,4 +15,9 @@ __pycache__/
 # ignore in all directories
 **/credentials.json
 
-backend/big_query.py
\ No newline at end of file
+*.pkl
+backend/bash.exe.stackdump
+backend/.python-version
+backend/big_query.py
+*.log
+fish_data.csv
\ No newline at end of file
diff --git a/backend/.dockerignore b/backend/.dockerignore
new file mode 100644
index 0000000..917b41f
--- /dev/null
+++ b/backend/.dockerignore
@@ -0,0 +1 @@
+# credentials.json
\ No newline at end of file
diff --git a/backend/Dockerfile b/backend/Dockerfile
index 6e2e770..0507747 100644
--- a/backend/Dockerfile
+++ b/backend/Dockerfile
@@ -4,6 +4,9 @@ FROM python:3.11.6-slim
 # Set the working directory in the container
 WORKDIR /app
 
+# Install build dependencies
+RUN apt-get update && apt-get install -y gcc musl-dev python3-dev
+
 # Install and cleanup
 RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential \
@@ -18,7 +21,7 @@ COPY pyproject.toml poetry.lock ./
 # Install the dependencies
 RUN poetry config virtualenvs.create false && poetry install --no-dev
 
-# Copy the credentials.json file and compute dir into the container
+# Copy the creds file and compute dir into the container
 COPY credentials.json ./
 COPY compute ./compute
 
diff --git a/backend/api-tests/requests.http b/backend/api-tests/requests.http
index 9cc54bb..1a2d697 100644
--- a/backend/api-tests/requests.http
+++ b/backend/api-tests/requests.http
@@ -11,24 +11,28 @@ GET http://127.0.0.1:8000/api/python
 GET http://127.0.0.1:8000/api/datasets
 
 #### BigQuery test
-GET http://127.0.0.1:8000/api/bq?filename=sample_contacts
+GET http://127.0.0.1:8000/api/bq?fileName=sample_contacts
 
 #### Get Data
-GET http://127.0.0.1:8000/api/data?filename=data
+GET http://127.0.0.1:8000/api/data?fileName=data.csv
 
 #### Get AutoML
 GET http://127.0.0.1:8000/api/automl
 
 #### Upload data set
-PUT http://127.0.0.1:8000/api/upload?filename=test-data
-Content-Type: multipart/form-data; boundary=MyBoundary
+PUT http://127.0.0.1:8000/api/upload
+Content-Type: multipart/form-data; boundary=yourBoundary
 
---MyBoundary
+--yourBoundary
+Content-Disposition: form-data; name="fileName"
+
+mo11.csv
+--yourBoundary
 Content-Disposition: form-data; name="file"; filename="data.csv"
 Content-Type: text/csv
 
-< @./data.csv
---MyBoundary--
+< ../data.csv
+--yourBoundary--
 
 #### Get eda
-GET http://127.0.0.1:8000/api/eda?filename=data
\ No newline at end of file
+GET http://127.0.0.1:8000/api/eda?fileName=data
\ No newline at end of file
diff --git a/backend/backend/.dockerignore b/backend/backend/.dockerignore
deleted file mode 100644
index c7c52a9..0000000
--- a/backend/backend/.dockerignore
+++ /dev/null
@@ -1 +0,0 @@
-credentials.json
\ No newline at end of file
diff --git a/backend/compute/autoML.py b/backend/compute/autoML.py
new file mode 100644
index 0000000..71028a8
--- /dev/null
+++ b/backend/compute/autoML.py
@@ -0,0 +1,43 @@
+# from pycaret.classification import setup as classification_setup, compare_models as classification_compare_models, finalize_model
+# from pycaret.regression import setup as regression_setup, compare_models as regression_compare_models, finalize_model
+
+import pycaret.classification as pycaret_cl
+import pycaret.regression as pycaret_rg
+
+import pandas as pd
+import joblib
+
+def perform_classification(data, target_column):
+
+    pycaret_cl.setup(data = data, target = target_column)
+    best_model = pycaret_cl.compare_models()
+
+    model_file_path = 'classification_model.pkl'
+    joblib.dump(best_model, model_file_path)
+
+    return best_model, model_file_path
+
+def perform_regression(data, target_column):
+
+    pycaret_rg.setup(data = data, target = target_column)
+    best_model = pycaret_rg.compare_models()
+
+    model_file_path = 'regression_model.pkl'
+    joblib.dump(best_model, model_file_path)
+
+    return best_model, model_file_path
+
+def generate_model(data, target_column, task):
+    
+    df = pd.read_csv(data) # Supplied dataset
+    task = task.upper() # Either R or C
+    
+    if task == 'C':
+        perform_classification(df, target_column)  # Call classification_setup() before classification_compare_models()
+        final_model, model_file_path = perform_classification(df, target_column)
+    elif task == 'R':
+        perform_regression(df, target_column)  # Call regression_setup() before regression_compare_models()
+        final_model, model_file_path = perform_regression(df, target_column)
+
+    return final_model, model_file_path
+
diff --git a/backend/main.py b/backend/main.py
index 5975eae..de861cc 100644
--- a/backend/main.py
+++ b/backend/main.py
@@ -1,3 +1,4 @@
+from http.client import HTTPException
 from google.cloud import storage
 from google.cloud import bigquery
 from starlette.responses import FileResponse
@@ -8,6 +9,8 @@
 from fastapi.responses import JSONResponse
 from fastapi.middleware.cors import CORSMiddleware
 from compute.autoEDA import generate_eda
+from compute.autoML import generate_model
+
 import csv
 
 app = FastAPI()
@@ -36,8 +39,7 @@
 async def refreshDataSets():
     global dataSetNames
     try:
-        storage_client = storage.Client.from_service_account_json(
-            "./credentials.json")
+        storage_client = storage.Client.from_service_account_json("./credentials.json")
 
         blobs = storage_client.list_blobs(DATA_BUCKET)
         dataSetNames = [blob.name for blob in blobs]
@@ -65,48 +67,61 @@ async def root():
 async def root_py():
     return {"message": "Hello from fastAPI backend"}
 
+
 # add a new dataset to the bucket
 @app.put("/api/upload")
-async def upload(file: UploadFile = File(...), fileName: str = Form(...)):
+async def upload(fileName: str = Form(...), file: UploadFile = File(...)):
     try:
-        storage_client = storage.Client.from_service_account_json(
-            "./credentials.json")
+        # Validate file type
+        if not file.filename.endswith(".csv"):
+            raise HTTPException(
+                status_code=400,
+                detail="Invalid file type. Only CSV files are accepted.",
+            )
+
+        storage_client = storage.Client.from_service_account_json("./credentials.json")
 
         bucket = storage_client.get_bucket(DATA_BUCKET)
-        # Assuming fileName includes '.csv' extension
         blob = bucket.blob(f"{fileName}")
-        content = await file.read()
-        blob.upload_from_string(content, content_type=file.content_type)
+        blob.upload_from_file(file.file, content_type="text/csv")
 
         await refreshDataSets()  # Make sure this function is defined if you want to use it
 
-        return JSONResponse(status_code=200, content={"message": "Data uploaded to GCloud successfully"})
+        return JSONResponse(
+            status_code=200, content={"message": "Data uploaded to GCloud successfully"}
+        )
 
     except Exception as e:
-        return JSONResponse(status_code=500, content={"error": f"An error occurred: {str(e)}"})
+        return JSONResponse(
+            status_code=500, content={"error": f"An error occurred: {str(e)}"}
+        )
+
 
 # list all the datasets in the bucket
 @app.get("/api/datasets")
 async def getDataSets():
+    # have to refresh the state of the bucket since it may have changed
+    await refreshDataSets()
     if not dataSetNames:
         return {"error": f"No DataSets in Bucket"}
     return {"names": dataSetNames}
 
+
 # get the data from the bucket and return it as a string
 @app.get("/api/data")
-async def getData(filename):
+async def getData(fileName):
     dataSetLines = ""
     try:
         storage_client = storage.Client.from_service_account_json("./credentials.json")
 
         bucket = storage_client.get_bucket(DATA_BUCKET)
-        blob = bucket.blob(f"{filename}.csv")
+        blob = bucket.blob(fileName)
 
         with blob.open("r") as f:
             dataSetLines = f.read()
-            
+
         # convert dataSetLines to be of type str | None (#TODO - check if this is necessary)
-        dataSetLines = str(dataSetLines) if dataSetLines else None 
+        dataSetLines = str(dataSetLines) if dataSetLines else None
 
         # convert csv string -> json (for frontend)
         csv_reader = csv.DictReader(StringIO(dataSetLines))
@@ -115,21 +130,18 @@ async def getData(filename):
     except Exception as e:
         return {"error": f"An error occurred: {str(e)}"}
 
-    return {
-        "data": dataSetLines,
-        "json": json_data
-    }
+    return {"data": dataSetLines, "json": json_data}
 
 
 # Exploratory Data Analysis
 @app.get("/api/eda")
-async def eda(filename):
+async def eda(fileName):
     corrMatrix = ""
     try:
         storage_client = storage.Client.from_service_account_json("./credentials.json")
 
         bucket = storage_client.get_bucket(DATA_BUCKET)
-        blob = bucket.blob(f"{filename}.csv")
+        blob = bucket.blob(f"{fileName}.csv")
 
         byte_stream = BytesIO()
         blob.download_to_file(byte_stream)
@@ -147,7 +159,7 @@ async def eda(filename):
 
     except Exception as e:
         return {"error": f"An error occurred: {str(e)}"}
-      
+
     finally:
         # Delete the temporary file
         if os.path.exists(f"tempImages/{uniqueFilename}"):
@@ -155,11 +167,12 @@ async def eda(filename):
 
     return {"data": corrMatrix, "graph_url": public_url}
 
+
 # return the model as a file
 @app.get("/api/automl")
 async def getModel():
     try:
-        #From #172 rawan/pandas-read-bucket
+        # From #172 rawan/pandas-read-bucket
 
         # storage_client = storage.Client.from_service_account_json(
         #     "./credentials.json")
@@ -169,59 +182,81 @@ async def getModel():
         # blob.download_to_file(byte_stream)
         # byte_stream.seek(0)
         # df = pd.read_csv(byte_stream)
-        # model_path = automl(df)
 
+        model, model_path = generate_model("fish_data.csv","Species", "C")
 
         # Use a placeholder file for testing download
-        placeholder_model_path = "./download_test_random_data.pickle"
+        # placeholder_model_path = "./download_test_random_data.pickle"
 
     except Exception as e:
         return {"error": f"An error occurred: {str(e)}"}
 
     # Return the placeholder file
-    return FileResponse(path=placeholder_model_path, filename=placeholder_model_path.split("/")[-1], media_type='application/octet-stream')
-
 
-    return {"data": corrMatrix}
+    # return FileResponse(path=placeholder_model_path, filename=placeholder_model_path.split("/")[-1], media_type='application/octet-stream')
+    return FileResponse(path=model_path, filename=model_path.split("/")[-1], media_type='application/octet-stream')
 
 
 # get file from bucket, load it to big query as a table & display the rows
 @app.get("/api/bq")
-async def bq(filename):
+async def bq(fileName, query=None):
+    
     # construct client objects (authorized with the service account json file)
     bq_client = bigquery.Client.from_service_account_json("./credentials.json")
     storage_client = storage.Client.from_service_account_json("./credentials.json")
     
-    uri = f"gs://{DATA_BUCKET}/{filename}.csv"
-    table_id = f"{BQ_DATASET}.{filename}_table"
+    # check if the file name has .csv extension, if not, add it
+    # if not fileName.endswith('.csv'):
+    #     fileName += '.csv'
+    
+    uri = f"gs://{DATA_BUCKET}/{fileName}"
     
     # if file does not exist in the bucket, return an error
-    blob = storage_client.get_bucket(DATA_BUCKET).blob(filename + ".csv")
+    blob = storage_client.get_bucket(DATA_BUCKET).blob(fileName)
     if not blob.exists():
-        return {"error": f"File {filename}.csv does not exist in the bucket."}
+        return {"error": f"File {fileName} does not exist in the bucket."}
+    
+    fileName = fileName.replace('.csv', '')
+    table_id = f"{BQ_DATASET}.{fileName}_table"
     
     # if table does not exist, load it
-    try:
-        bq_client.get_table(table_id)
-    except:
-        job_config = bigquery.LoadJobConfig(
-            autodetect=True,  # Automatically infer the schema.
-            source_format=bigquery.SourceFormat.CSV,
-            skip_leading_rows=1,  # column headers
-            write_disposition=bigquery.WriteDisposition.WRITE_TRUNCATE,  # Overwrite the table
-        )
-        
-        load_job = bq_client.load_table_from_uri(
-            uri, table_id, job_config=job_config
-        ) # Make an API request.
-        
-        load_job.result()  # Waits for the job to complete.
+    # try:
+    #     bq_client.get_table(table_id)
+    # except:
+    job_config = bigquery.LoadJobConfig(
+        autodetect=True,  # Automatically infer the schema.
+        source_format=bigquery.SourceFormat.CSV,
+        skip_leading_rows=1,  # column headers
+        write_disposition=bigquery.WriteDisposition.WRITE_TRUNCATE,  # Overwrite the table
+    )
+    # Make an API request
+    load_job = bq_client.load_table_from_uri(
+        uri, table_id, job_config=job_config
+    )
+    # Waits for the job to complete.
+    load_job.result() 
     
-    # Query all rows from the table
-    query = f"SELECT * FROM `{table_id}`"
-    query_job = bq_client.query(query)
-    rows = query_job.result()
+    #------------------------------------------ Query ops ----------------------------------------#
+    
+    query = query.upper() if query else None
     
+    # List of potentially harmful operations
+    harmful_ops = ['DROP', 'DELETE', 'INSERT', 'UPDATE']
+
+    # Check if the query contains any harmful operations
+    if query and any(op in query.upper() for op in harmful_ops):
+        print("\nQuery contains harmful operations!\nusing default query.\n")
+        final_query = f"SELECT * FROM `{table_id}`"
+    else:
+        print("\nQuery is safe to be passed.\n")
+        # remove everything before the `SELECT` keyword from the received query
+        query = query[query.find("SELECT"):] if query else None
+        final_query = query.replace("FROM TABLE", f"FROM `{table_id}`") if query else f"SELECT * FROM `{table_id}`"
+    print("Final Query:\n", final_query, "\n")
+    
+    query_job = bq_client.query(final_query)
+    rows = query_job.result()
+
     # display the rows
     data = []
     for row in rows:
diff --git a/backend/poetry.lock b/backend/poetry.lock
index 98d980f..3383518 100644
--- a/backend/poetry.lock
+++ b/backend/poetry.lock
@@ -31,6 +31,54 @@ doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-
 test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (<0.22)"]
 
+[[package]]
+name = "asttokens"
+version = "2.4.1"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = "*"
+files = [
+    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
+]
+
+[package.dependencies]
+six = ">=1.12.0"
+
+[package.extras]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
+
+[[package]]
+name = "attrs"
+version = "23.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+
+[[package]]
+name = "blinker"
+version = "1.7.0"
+description = "Fast, simple object-to-object and broadcast signaling"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
+    {file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"},
+]
+
 [[package]]
 name = "cachetools"
 version = "5.3.2"
@@ -42,6 +90,25 @@ files = [
     {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
 ]
 
+[[package]]
+name = "category-encoders"
+version = "2.6.3"
+description = "A collection of sklearn transformers to encode categorical variables as numeric"
+optional = false
+python-versions = "*"
+files = [
+    {file = "category_encoders-2.6.3-py2.py3-none-any.whl", hash = "sha256:117775f1775e53a67c9e91842ac9100bc364cddc9f4058188796532bc5b11f1c"},
+    {file = "category_encoders-2.6.3.tar.gz", hash = "sha256:d9f14705ed4b536eaf9cfc81b76d67a50b2f16f8f3eda498c57d7da19655530c"},
+]
+
+[package.dependencies]
+numpy = ">=1.14.0"
+pandas = ">=1.0.5"
+patsy = ">=0.5.1"
+scikit-learn = ">=0.20.0"
+scipy = ">=1.0.0"
+statsmodels = ">=0.9.0"
+
 [[package]]
 name = "certifi"
 version = "2024.2.2"
@@ -166,6 +233,17 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
+    {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -177,6 +255,23 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "comm"
+version = "0.2.1"
+description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "comm-0.2.1-py3-none-any.whl", hash = "sha256:87928485c0dfc0e7976fd89fc1e187023cf587e7c353e4a9b417555b44adf021"},
+    {file = "comm-0.2.1.tar.gz", hash = "sha256:0bc91edae1344d39d3661dcbc36937181fdaddb304790458f8b044dbc064b89a"},
+]
+
+[package.dependencies]
+traitlets = ">=4"
+
+[package.extras]
+test = ["pytest"]
+
 [[package]]
 name = "contourpy"
 version = "1.2.0"
@@ -255,6 +350,195 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
+[[package]]
+name = "cython"
+version = "3.0.8"
+description = "The Cython compiler for writing C extensions in the Python language."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "Cython-3.0.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a846e0a38e2b24e9a5c5dc74b0e54c6e29420d88d1dafabc99e0fc0f3e338636"},
+    {file = "Cython-3.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45523fdc2b78d79b32834cc1cc12dc2ca8967af87e22a3ee1bff20e77c7f5520"},
+    {file = "Cython-3.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa0b7f3f841fe087410cab66778e2d3fb20ae2d2078a2be3dffe66c6574be39"},
+    {file = "Cython-3.0.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e87294e33e40c289c77a135f491cd721bd089f193f956f7b8ed5aa2d0b8c558f"},
+    {file = "Cython-3.0.8-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:a1df7a129344b1215c20096d33c00193437df1a8fcca25b71f17c23b1a44f782"},
+    {file = "Cython-3.0.8-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:13c2a5e57a0358da467d97667297bf820b62a1a87ae47c5f87938b9bb593acbd"},
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@@ -1024,6 +1866,58 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
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+
 [[package]]
 name = "pluggy"
 version = "1.4.0"
@@ -1039,6 +1933,71 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
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+description = "Python's forecast::auto.arima equivalent"
+optional = false
+python-versions = ">=3.7"
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+urllib3 = "*"
+
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.43"
+description = "Library for building powerful interactive command lines in Python"
+optional = false
+python-versions = ">=3.7.0"
+files = [
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+[package.dependencies]
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+
 [[package]]
 name = "protobuf"
 version = "4.25.3"
@@ -1059,6 +2018,59 @@ files = [
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 ]
 
+[[package]]
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+version = "5.9.8"
+description = "Cross-platform lib for process and system monitoring in Python."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+files = [
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+
+[package.extras]
+test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+description = "Run a subprocess in a pseudo terminal"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[[package]]
+name = "pure-eval"
+version = "0.2.2"
+description = "Safely evaluate AST nodes without side effects"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.extras]
+tests = ["pytest"]
+
 [[package]]
 name = "pyasn1"
 version = "0.5.1"
@@ -1084,6 +2096,61 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.6.0"
 
+[[package]]
+name = "pycaret"
+version = "3.2.0"
+description = "PyCaret - An open source, low-code machine learning library in Python."
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.dependencies]
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+cloudpickle = "*"
+deprecation = ">=2.1.0"
+imbalanced-learn = ">=0.8.1"
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+ipython = ">=5.5.0"
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+jinja2 = ">=1.2"
+joblib = ">=1.2.0"
+kaleido = ">=0.2.1"
+lightgbm = ">=3.0.0"
+markupsafe = ">=2.0.1"
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+numpy = ">=1.21,<1.27"
+pandas = ">=1.3.0,<2.0.0"
+plotly = ">=5.0.0"
+plotly-resampler = ">=0.8.3.1"
+pmdarima = ">=1.8.0,<1.8.1 || >1.8.1,<3.0.0"
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+pyod = ">=1.0.8"
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+schemdraw = "0.15"
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+statsmodels = ">=0.12.1"
+tbats = ">=1.1.3"
+tqdm = ">=4.62.0"
+wurlitzer = {version = "*", markers = "platform_system != \"Windows\""}
+xxhash = "*"
+yellowbrick = ">=1.4"
+
+[package.extras]
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+test = ["dash[testing]", "fugue[dask] (>=0.8.0)", "moto (>=3.0.7)", "pytest (>=7.0.1)"]
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+
 [[package]]
 name = "pydantic"
 version = "2.6.1"
@@ -1194,6 +2261,40 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pygments"
+version = "2.17.2"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
+]
+
+[package.extras]
+plugins = ["importlib-metadata"]
+windows-terminal = ["colorama (>=0.4.6)"]
+
+[[package]]
+name = "pyod"
+version = "1.1.3"
+description = "A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pyod-1.1.3.tar.gz", hash = "sha256:ae39808c8da04ce47eee3757ef641feb67e610bddb134b3362fd6f5cb2c6c7cd"},
+]
+
+[package.dependencies]
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+matplotlib = "*"
+numba = ">=0.51"
+numpy = ">=1.19"
+scikit_learn = ">=0.22.0"
+scipy = ">=1.5.1"
+six = "*"
+
 [[package]]
 name = "pyparsing"
 version = "3.1.1"
@@ -1210,13 +2311,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pytest"
-version = "8.0.0"
+version = "8.0.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
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+
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@@ -1397,6 +2791,22 @@ dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest
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 stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"]
 
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+
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-python-versions = "^3.11"
-content-hash = "681ddfdfc44541264876781bf0b6273453fc23a55ff92505f72d7ebd434fd41c"
+python-versions = ">=3.11,<3.12"
+content-hash = "4cd5ddbcf953f723d6ce31b0bdb992840933827868428bc07badb91536ad95c9"
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index d776f39..c726043 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -6,15 +6,17 @@ authors = ["Andrew Bovbel <andrew@bovbel.com>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = "^3.11"
+python = ">=3.11,<3.12"
 fastapi = "^0.104.0"
 uvicorn = { extras = ["standard"], version = "^0.23.2" }
 google-cloud-storage = "*"
 google-cloud-bigquery = "*"
 python-multipart = "*"
-pandas = "^2.2.0"
 seaborn = "^0.13.2"
 pytest = "^8.0.0"
+joblib = "^1.3.2"
+kaleido = "0.2.1"
+pycaret = "^3.2.0"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/cloud-infra/k8s/backend-deployment.yaml b/cloud-infra/k8s/backend-deployment.yaml
index 77f8e8f..824c473 100644
--- a/cloud-infra/k8s/backend-deployment.yaml
+++ b/cloud-infra/k8s/backend-deployment.yaml
@@ -22,5 +22,6 @@ spec:
       - name: backend
         # uses the back-end image from the artifact registry 
         image: us-central1-docker.pkg.dev/automate-gdsc/backend-images/backend:latest
+        imagePullPolicy: Always
         ports:
         - containerPort: 8000
diff --git a/frontend/.eslintrc.json b/frontend/.eslintrc.json
index a2ceebe..fe73d21 100644
--- a/frontend/.eslintrc.json
+++ b/frontend/.eslintrc.json
@@ -1,3 +1,3 @@
 {
-  "extends": ["next/babel", "next/core-web-vitals"]
-}
+  "extends": ["next/babel","next/core-web-vitals"]
+}
\ No newline at end of file
diff --git a/frontend/Dockerfile b/frontend/Dockerfile
index 213992f..11d9459 100644
--- a/frontend/Dockerfile
+++ b/frontend/Dockerfile
@@ -1,5 +1,5 @@
 # Stage 1: Building the code
-FROM node:16-alpine AS builder
+FROM node:18-alpine AS builder
 
 WORKDIR /app
 
@@ -16,7 +16,7 @@ COPY . .
 RUN npm run build
 
 # Stage 2: Run the app
-FROM node:16-alpine AS runner
+FROM node:18-alpine AS runner
 WORKDIR /app
 
 # Copy built assets from the builder stage
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
index 27ef395..7b7c1e1 100644
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -11,21 +11,26 @@
         "@emotion/react": "^11.11.1",
         "@emotion/styled": "^11.11.0",
         "@fontsource/public-sans": "^5.0.15",
+        "@monaco-editor/react": "^4.6.0",
         "@mui/icons-material": "^5.14.14",
         "@mui/material": "^5.14.19",
         "@mui/x-data-grid": "^6.18.1",
         "@reduxjs/toolkit": "^2.1.0",
+        "monaco-editor-webpack-plugin": "^7.1.0",
         "mui-image": "^1.0.7",
-        "next": "13.5.6",
+        "next": "^14.1.0",
+        "next-transpile-modules": "^10.0.1",
         "react": "^18.2.0",
         "react-dom": "^18",
+        "react-monaco-editor": "^0.55.0",
         "react-redux": "^9.1.0",
         "recharts": "^2.10.1",
         "sass": "^1.69.4"
       },
       "devDependencies": {
-        "eslint": "^8",
-        "eslint-config-next": "13.5.6",
+        "eslint": "^8.56.0",
+        "eslint-config-next": "^14.1.0",
+        "eslint-plugin-react": "^7.33.2",
         "prettier": "3.1.0"
       }
     },
@@ -39,11 +44,11 @@
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.22.13",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.13.tgz",
-      "integrity": "sha512-XktuhWlJ5g+3TJXc5upd9Ks1HutSArik6jf2eAjYFyIOf4ej3RN+184cZbzDvbPnuTJIUhPKKJE3cIsYTiAT3w==",
+      "version": "7.23.5",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.23.5.tgz",
+      "integrity": "sha512-CgH3s1a96LipHCmSUmYFPwY7MNx8C3avkq7i4Wl3cfa662ldtUe4VM1TPXX70pfmrlWTb6jLqTYrZyT2ZTJBgA==",
       "dependencies": {
-        "@babel/highlight": "^7.22.13",
+        "@babel/highlight": "^7.23.4",
         "chalk": "^2.4.2"
       },
       "engines": {
@@ -126,9 +131,9 @@
       }
     },
     "node_modules/@babel/helper-string-parser": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.22.5.tgz",
-      "integrity": "sha512-mM4COjgZox8U+JcXQwPijIZLElkgEpO5rsERVDJTc2qfCDfERyob6k5WegS14SX18IIjv+XD+GrqNumY5JRCDw==",
+      "version": "7.23.4",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.23.4.tgz",
+      "integrity": "sha512-803gmbQdqwdf4olxrX4AJyFBV/RTr3rSmOj0rKwesmzlfhYNDEs+/iOcznzpNWlJlIlTJC2QfPFcHB6DlzdVLQ==",
       "engines": {
         "node": ">=6.9.0"
       }
@@ -142,9 +147,9 @@
       }
     },
     "node_modules/@babel/highlight": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.22.20.tgz",
-      "integrity": "sha512-dkdMCN3py0+ksCgYmGG8jKeGA/8Tk+gJwSYYlFGxG5lmhfKNoAy004YpLxpS1W2J8m/EK2Ew+yOs9pVRwO89mg==",
+      "version": "7.23.4",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.23.4.tgz",
+      "integrity": "sha512-acGdbYSfp2WheJoJm/EBBBLh/ID8KDc64ISZ9DYtBmC8/Q204PZJLHyzeB5qMzJ5trcOkybd78M4x2KWsUq++A==",
       "dependencies": {
         "@babel/helper-validator-identifier": "^7.22.20",
         "chalk": "^2.4.2",
@@ -219,9 +224,9 @@
       }
     },
     "node_modules/@babel/runtime": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.23.5.tgz",
-      "integrity": "sha512-NdUTHcPe4C99WxPub+K9l9tK5/lV4UXIoaHSYgzco9BCyjKAAwzdBI+wWtYqHt7LJdbo74ZjRPJgzVweq1sz0w==",
+      "version": "7.23.9",
+      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.23.9.tgz",
+      "integrity": "sha512-0CX6F+BI2s9dkUqr08KFrAIZgNFj75rdBU/DjCyYLIaV/quFjkk6T+EJ2LkZHyZTbEV4L5p97mNkUsHl2wLFAw==",
       "dependencies": {
         "regenerator-runtime": "^0.14.0"
       },
@@ -230,11 +235,11 @@
       }
     },
     "node_modules/@babel/types": {
-      "version": "7.23.0",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.0.tgz",
-      "integrity": "sha512-0oIyUfKoI3mSqMvsxBdclDwxXKXAUA8v/apZbc+iSyARYou1o8ZGDxbUYyLFoW2arqS2jDGqJuZvv1d/io1axg==",
+      "version": "7.23.9",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.9.tgz",
+      "integrity": "sha512-dQjSq/7HaSjRM43FFGnv5keM2HsxpmyV1PfaSVm0nzzjwwTmjOe6J4bC8e3+pTEIgHaHj+1ZlLThRJ2auc/w1Q==",
       "dependencies": {
-        "@babel/helper-string-parser": "^7.22.5",
+        "@babel/helper-string-parser": "^7.23.4",
         "@babel/helper-validator-identifier": "^7.22.20",
         "to-fast-properties": "^2.0.0"
       },
@@ -291,14 +296,14 @@
       "integrity": "sha512-W2P2c/VRW1/1tLox0mVUalvnWXxavmv/Oum2aPsRcoDJuob75FC3Y8FbpfLwUegRcxINtGUMPq0tFCvYNTBXNA=="
     },
     "node_modules/@emotion/react": {
-      "version": "11.11.1",
-      "resolved": "https://registry.npmjs.org/@emotion/react/-/react-11.11.1.tgz",
-      "integrity": "sha512-5mlW1DquU5HaxjLkfkGN1GA/fvVGdyHURRiX/0FHl2cfIfRxSOfmxEH5YS43edp0OldZrZ+dkBKbngxcNCdZvA==",
+      "version": "11.11.3",
+      "resolved": "https://registry.npmjs.org/@emotion/react/-/react-11.11.3.tgz",
+      "integrity": "sha512-Cnn0kuq4DoONOMcnoVsTOR8E+AdnKFf//6kUWc4LCdnxj31pZWn7rIULd6Y7/Js1PiPHzn7SKCM9vB/jBni8eA==",
       "dependencies": {
         "@babel/runtime": "^7.18.3",
         "@emotion/babel-plugin": "^11.11.0",
         "@emotion/cache": "^11.11.0",
-        "@emotion/serialize": "^1.1.2",
+        "@emotion/serialize": "^1.1.3",
         "@emotion/use-insertion-effect-with-fallbacks": "^1.0.1",
         "@emotion/utils": "^1.2.1",
         "@emotion/weak-memoize": "^0.3.1",
@@ -314,9 +319,9 @@
       }
     },
     "node_modules/@emotion/serialize": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@emotion/serialize/-/serialize-1.1.2.tgz",
-      "integrity": "sha512-zR6a/fkFP4EAcCMQtLOhIgpprZOwNmCldtpaISpvz348+DP4Mz8ZoKaGGCQpbzepNIUWbq4w6hNZkwDyKoS+HA==",
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/@emotion/serialize/-/serialize-1.1.3.tgz",
+      "integrity": "sha512-iD4D6QVZFDhcbH0RAG1uVu1CwVLMWUkCvAqqlewO/rxf8+87yIBAlt4+AxMiiKPLs5hFc0owNk/sLLAOROw3cA==",
       "dependencies": {
         "@emotion/hash": "^0.9.1",
         "@emotion/memoize": "^0.8.1",
@@ -391,18 +396,18 @@
       }
     },
     "node_modules/@eslint-community/regexpp": {
-      "version": "4.9.1",
-      "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.9.1.tgz",
-      "integrity": "sha512-Y27x+MBLjXa+0JWDhykM3+JE+il3kHKAEqabfEWq3SDhZjLYb6/BHL/JKFnH3fe207JaXkyDo685Oc2Glt6ifA==",
+      "version": "4.10.0",
+      "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.10.0.tgz",
+      "integrity": "sha512-Cu96Sd2By9mCNTx2iyKOmq10v22jUVQv0lQnlGNy16oE9589yE+QADPbrMGCkA51cKZSg3Pu/aTJVTGfL/qjUA==",
       "dev": true,
       "engines": {
         "node": "^12.0.0 || ^14.0.0 || >=16.0.0"
       }
     },
     "node_modules/@eslint/eslintrc": {
-      "version": "2.1.2",
-      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-2.1.2.tgz",
-      "integrity": "sha512-+wvgpDsrB1YqAMdEUCcnTlpfVBH7Vqn6A/NT3D8WVXFIaKMlErPIZT3oCIAVCOtarRpMtelZLqJeU3t7WY6X6g==",
+      "version": "2.1.4",
+      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-2.1.4.tgz",
+      "integrity": "sha512-269Z39MS6wVJtsoUl10L60WdkhJVdPG24Q4eZTH3nnF6lpvSShEK3wQjDX9JRWAUPvPh7COouPpU9IrqaZFvtQ==",
       "dev": true,
       "dependencies": {
         "ajv": "^6.12.4",
@@ -423,37 +428,37 @@
       }
     },
     "node_modules/@eslint/js": {
-      "version": "8.52.0",
-      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-8.52.0.tgz",
-      "integrity": "sha512-mjZVbpaeMZludF2fsWLD0Z9gCref1Tk4i9+wddjRvpUNqqcndPkBD09N/Mapey0b3jaXbLm2kICwFv2E64QinA==",
+      "version": "8.56.0",
+      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-8.56.0.tgz",
+      "integrity": "sha512-gMsVel9D7f2HLkBma9VbtzZRehRogVRfbr++f06nL2vnCGCNlzOD+/MUov/F4p8myyAHspEhVobgjpX64q5m6A==",
       "dev": true,
       "engines": {
         "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
       }
     },
     "node_modules/@floating-ui/core": {
-      "version": "1.5.1",
-      "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.5.1.tgz",
-      "integrity": "sha512-QgcKYwzcc8vvZ4n/5uklchy8KVdjJwcOeI+HnnTNclJjs2nYsy23DOCf+sSV1kBwD9yDAoVKCkv/gEPzgQU3Pw==",
+      "version": "1.6.0",
+      "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.0.tgz",
+      "integrity": "sha512-PcF++MykgmTj3CIyOQbKA/hDzOAiqI3mhuoN44WRCopIs1sgoDoU4oty4Jtqaj/y3oDU6fnVSm4QG0a3t5i0+g==",
       "dependencies": {
-        "@floating-ui/utils": "^0.1.3"
+        "@floating-ui/utils": "^0.2.1"
       }
     },
     "node_modules/@floating-ui/dom": {
-      "version": "1.5.3",
-      "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.5.3.tgz",
-      "integrity": "sha512-ClAbQnEqJAKCJOEbbLo5IUlZHkNszqhuxS4fHAVxRPXPya6Ysf2G8KypnYcOTpx6I8xcgF9bbHb6g/2KpbV8qA==",
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.6.3.tgz",
+      "integrity": "sha512-RnDthu3mzPlQ31Ss/BTwQ1zjzIhr3lk1gZB1OC56h/1vEtaXkESrOqL5fQVMfXpwGtRwX+YsZBdyHtJMQnkArw==",
       "dependencies": {
-        "@floating-ui/core": "^1.4.2",
-        "@floating-ui/utils": "^0.1.3"
+        "@floating-ui/core": "^1.0.0",
+        "@floating-ui/utils": "^0.2.0"
       }
     },
     "node_modules/@floating-ui/react-dom": {
-      "version": "2.0.4",
-      "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.0.4.tgz",
-      "integrity": "sha512-CF8k2rgKeh/49UrnIBs4BdxPUV6vize/Db1d/YbCLyp9GiVZ0BEwf5AiDSxJRCr6yOkGqTFHtmrULxkEfYZ7dQ==",
+      "version": "2.0.8",
+      "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.0.8.tgz",
+      "integrity": "sha512-HOdqOt3R3OGeTKidaLvJKcgg75S6tibQ3Tif4eyd91QnIJWr0NLvoXFpJA/j8HqkFSL68GDca9AuyWEHlhyClw==",
       "dependencies": {
-        "@floating-ui/dom": "^1.5.1"
+        "@floating-ui/dom": "^1.6.1"
       },
       "peerDependencies": {
         "react": ">=16.8.0",
@@ -461,23 +466,23 @@
       }
     },
     "node_modules/@floating-ui/utils": {
-      "version": "0.1.6",
-      "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.1.6.tgz",
-      "integrity": "sha512-OfX7E2oUDYxtBvsuS4e/jSn4Q9Qb6DzgeYtsAdkPZ47znpoNsMgZw0+tVijiv3uGNR6dgNlty6r9rzIzHjtd/A=="
+      "version": "0.2.1",
+      "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.2.1.tgz",
+      "integrity": "sha512-9TANp6GPoMtYzQdt54kfAyMmz1+osLlXdg2ENroU7zzrtflTLrrC/lgrIfaSe+Wu0b89GKccT7vxXA0MoAIO+Q=="
     },
     "node_modules/@fontsource/public-sans": {
-      "version": "5.0.15",
-      "resolved": "https://registry.npmjs.org/@fontsource/public-sans/-/public-sans-5.0.15.tgz",
-      "integrity": "sha512-3UKtCVDbwt8FeurOHYBybDzYYJH0peyisGjsQe2aRFR4M693m0DdE3v4BZl+60OjvnXGWhO8O/rmET2kwPF6SQ=="
+      "version": "5.0.16",
+      "resolved": "https://registry.npmjs.org/@fontsource/public-sans/-/public-sans-5.0.16.tgz",
+      "integrity": "sha512-bThZip6sLRsnfzi/oBr1/9+aWmvHkb59QlLh/OtoAIA0Mi2+Z1cKOxtR1B2ITauljlLJHPRvjpTZDUZitUN8pA=="
     },
     "node_modules/@humanwhocodes/config-array": {
-      "version": "0.11.13",
-      "resolved": "https://registry.npmjs.org/@humanwhocodes/config-array/-/config-array-0.11.13.tgz",
-      "integrity": "sha512-JSBDMiDKSzQVngfRjOdFXgFfklaXI4K9nLF49Auh21lmBWRLIK3+xTErTWD4KU54pb6coM6ESE7Awz/FNU3zgQ==",
+      "version": "0.11.14",
+      "resolved": "https://registry.npmjs.org/@humanwhocodes/config-array/-/config-array-0.11.14.tgz",
+      "integrity": "sha512-3T8LkOmg45BV5FICb15QQMsyUSWrQ8AygVfC7ZG32zOalnqrilm018ZVCw0eapXux8FtA33q8PSRSstjee3jSg==",
       "dev": true,
       "dependencies": {
-        "@humanwhocodes/object-schema": "^2.0.1",
-        "debug": "^4.1.1",
+        "@humanwhocodes/object-schema": "^2.0.2",
+        "debug": "^4.3.1",
         "minimatch": "^3.0.5"
       },
       "engines": {
@@ -498,22 +503,148 @@
       }
     },
     "node_modules/@humanwhocodes/object-schema": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/@humanwhocodes/object-schema/-/object-schema-2.0.1.tgz",
-      "integrity": "sha512-dvuCeX5fC9dXgJn9t+X5atfmgQAzUOWqS1254Gh0m6i8wKd10ebXkfNKiRK+1GWi/yTvvLDHpoxLr0xxxeslWw==",
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/@humanwhocodes/object-schema/-/object-schema-2.0.2.tgz",
+      "integrity": "sha512-6EwiSjwWYP7pTckG6I5eyFANjPhmPjUX9JRLUSfNPC7FX7zK9gyZAfUEaECL6ALTpGX5AjnBq3C9XmVWPitNpw==",
       "dev": true
     },
+    "node_modules/@isaacs/cliui": {
+      "version": "8.0.2",
+      "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
+      "integrity": "sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA==",
+      "dev": true,
+      "dependencies": {
+        "string-width": "^5.1.2",
+        "string-width-cjs": "npm:string-width@^4.2.0",
+        "strip-ansi": "^7.0.1",
+        "strip-ansi-cjs": "npm:strip-ansi@^6.0.1",
+        "wrap-ansi": "^8.1.0",
+        "wrap-ansi-cjs": "npm:wrap-ansi@^7.0.0"
+      },
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/ansi-regex": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
+      "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
+      "dev": true,
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-regex?sponsor=1"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/strip-ansi": {
+      "version": "7.1.0",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
+      "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
+      "dev": true,
+      "dependencies": {
+        "ansi-regex": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/strip-ansi?sponsor=1"
+      }
+    },
+    "node_modules/@jridgewell/gen-mapping": {
+      "version": "0.3.3",
+      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.3.tgz",
+      "integrity": "sha512-HLhSWOLRi875zjjMG/r+Nv0oCW8umGb0BgEhyX3dDX3egwZtB8PqLnjz3yedt8R5StBrzcg4aBpnh8UA9D1BoQ==",
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-      "integrity": "sha512-wNMeqtMz5NtwpT/UZGY5alT+VoKdSsOOP/kqHFcUW1P/VRhH2wJ48+DN2WwUliNbQ976ETwDL0Ifd2VVvgonvg==",
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-1.2.1.tgz",
+      "integrity": "sha512-RIYA36cJn2WiH9Hy77hdF9r7oEwxAtB/TS9/S4Qd90Ap4z5FSiin5zEiTL44OII1Y3IIlEvxwxFUVgrHSZ/UpA==",
       "dev": true,
       "requires": {}
     },
     "tsconfig-paths": {
-      "version": "3.14.2",
-      "resolved": "https://registry.npmjs.org/tsconfig-paths/-/tsconfig-paths-3.14.2.tgz",
-      "integrity": "sha512-o/9iXgCYc5L/JxCHPe3Hvh8Q/2xm5Z+p18PESBU6Ff33695QnCHBEjcytY2q19ua7Mbl/DavtBOLq+oG0RCL+g==",
+      "version": "3.15.0",
+      "resolved": "https://registry.npmjs.org/tsconfig-paths/-/tsconfig-paths-3.15.0.tgz",
+      "integrity": "sha512-2Ac2RgzDe/cn48GvOe3M+o82pEFewD3UPbyoUHHdKasHwJKjds4fLXWf/Ux5kATBKN20oaFGu+jbElp1pos0mg==",
       "dev": true,
       "requires": {
         "@types/json5": "^0.0.29",
         "json5": "^1.0.2",
         "minimist": "^1.2.6",
         "strip-bom": "^3.0.0"
+      },
+      "dependencies": {
+        "json5": {
+          "version": "1.0.2",
+          "resolved": "https://registry.npmjs.org/json5/-/json5-1.0.2.tgz",
+          "integrity": "sha512-g1MWMLBiz8FKi1e4w0UyVL3w+iJceWAFBAaBnnGKOpNa5f8TLktkbre1+s6oICydWAm+HRUGTmI+//xv2hvXYA==",
+          "dev": true,
+          "requires": {
+            "minimist": "^1.2.0"
+          }
+        }
       }
     },
     "tslib": {
@@ -8315,14 +10278,14 @@
       "dev": true
     },
     "typed-array-buffer": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/typed-array-buffer/-/typed-array-buffer-1.0.0.tgz",
-      "integrity": "sha512-Y8KTSIglk9OZEr8zywiIHG/kmQ7KWyjseXs1CbSo8vC42w7hg2HgYTxSWwP0+is7bWDc1H+Fo026CpHFwm8tkw==",
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/typed-array-buffer/-/typed-array-buffer-1.0.1.tgz",
+      "integrity": "sha512-RSqu1UEuSlrBhHTWC8O9FnPjOduNs4M7rJ4pRKoEjtx1zUNOPN2sSXHLDX+Y2WPbHIxbvg4JFo2DNAEfPIKWoQ==",
       "dev": true,
       "requires": {
-        "call-bind": "^1.0.2",
-        "get-intrinsic": "^1.2.1",
-        "is-typed-array": "^1.1.10"
+        "call-bind": "^1.0.6",
+        "es-errors": "^1.3.0",
+        "is-typed-array": "^1.1.13"
       }
     },
     "typed-array-byte-length": {
@@ -8338,16 +10301,17 @@
       }
     },
     "typed-array-byte-offset": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/typed-array-byte-offset/-/typed-array-byte-offset-1.0.0.tgz",
-      "integrity": "sha512-RD97prjEt9EL8YgAgpOkf3O4IF9lhJFr9g0htQkm0rchFp/Vx7LW5Q8fSXXub7BXAODyUQohRMyOc3faCPd0hg==",
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/typed-array-byte-offset/-/typed-array-byte-offset-1.0.1.tgz",
+      "integrity": "sha512-tcqKMrTRXjqvHN9S3553NPCaGL0VPgFI92lXszmrE8DMhiDPLBYLlvo8Uu4WZAAX/aGqp/T1sbA4ph8EWjDF9Q==",
       "dev": true,
       "requires": {
-        "available-typed-arrays": "^1.0.5",
-        "call-bind": "^1.0.2",
+        "available-typed-arrays": "^1.0.6",
+        "call-bind": "^1.0.7",
         "for-each": "^0.3.3",
+        "gopd": "^1.0.1",
         "has-proto": "^1.0.1",
-        "is-typed-array": "^1.1.10"
+        "is-typed-array": "^1.1.13"
       }
     },
     "typed-array-length": {
@@ -8380,11 +10344,26 @@
         "which-boxed-primitive": "^1.0.2"
       }
     },
+    "undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "peer": true
+    },
+    "update-browserslist-db": {
+      "version": "1.0.13",
+      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz",
+      "integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==",
+      "peer": true,
+      "requires": {
+        "escalade": "^3.1.1",
+        "picocolors": "^1.0.0"
+      }
+    },
     "uri-js": {
       "version": "4.4.1",
       "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
       "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==",
-      "dev": true,
       "requires": {
         "punycode": "^2.1.0"
       }
@@ -8396,9 +10375,9 @@
       "requires": {}
     },
     "victory-vendor": {
-      "version": "36.7.0",
-      "resolved": "https://registry.npmjs.org/victory-vendor/-/victory-vendor-36.7.0.tgz",
-      "integrity": "sha512-nqYuTkLSdTTeACyXcCLbL7rl0y6jpzLPtTNGOtSnajdR+xxMxBdjMxDjfNJNlhR+ZU8vbXz+QejntcbY7h9/ZA==",
+      "version": "36.9.1",
+      "resolved": "https://registry.npmjs.org/victory-vendor/-/victory-vendor-36.9.1.tgz",
+      "integrity": "sha512-+pZIP+U3pEJdDCeFmsXwHzV7vNHQC/eIbHklfe2ZCZqayYRH7lQbHcVgsJ0XOOv27hWs4jH4MONgXxHMObTMSA==",
       "requires": {
         "@types/d3-array": "^3.0.3",
         "@types/d3-ease": "^3.0.0",
@@ -8420,11 +10399,68 @@
       "version": "2.4.0",
       "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.0.tgz",
       "integrity": "sha512-Lcvm7MGST/4fup+ifyKi2hjyIAwcdI4HRgtvTpIUxBRhB+RFtUh8XtDOxUfctVCnhVi+QQj49i91OyvzkJl6cg==",
+      "peer": true,
       "requires": {
         "glob-to-regexp": "^0.4.1",
         "graceful-fs": "^4.1.2"
       }
     },
+    "webpack": {
+      "version": "5.90.3",
+      "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.90.3.tgz",
+      "integrity": "sha512-h6uDYlWCctQRuXBs1oYpVe6sFcWedl0dpcVaTf/YF67J9bKvwJajFulMVSYKHrksMB3I/pIagRzDxwxkebuzKA==",
+      "peer": true,
+      "requires": {
+        "@types/eslint-scope": "^3.7.3",
+        "@types/estree": "^1.0.5",
+        "@webassemblyjs/ast": "^1.11.5",
+        "@webassemblyjs/wasm-edit": "^1.11.5",
+        "@webassemblyjs/wasm-parser": "^1.11.5",
+        "acorn": "^8.7.1",
+        "acorn-import-assertions": "^1.9.0",
+        "browserslist": "^4.21.10",
+        "chrome-trace-event": "^1.0.2",
+        "enhanced-resolve": "^5.15.0",
+        "es-module-lexer": "^1.2.1",
+        "eslint-scope": "5.1.1",
+        "events": "^3.2.0",
+        "glob-to-regexp": "^0.4.1",
+        "graceful-fs": "^4.2.9",
+        "json-parse-even-better-errors": "^2.3.1",
+        "loader-runner": "^4.2.0",
+        "mime-types": "^2.1.27",
+        "neo-async": "^2.6.2",
+        "schema-utils": "^3.2.0",
+        "tapable": "^2.1.1",
+        "terser-webpack-plugin": "^5.3.10",
+        "watchpack": "^2.4.0",
+        "webpack-sources": "^3.2.3"
+      },
+      "dependencies": {
+        "eslint-scope": {
+          "version": "5.1.1",
+          "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-5.1.1.tgz",
+          "integrity": "sha512-2NxwbF/hZ0KpepYN0cNbo+FN6XoK7GaHlQhgx/hIZl6Va0bF45RQOOwhLIy8lQDbuCiadSLCBnH2CFYquit5bw==",
+          "peer": true,
+          "requires": {
+            "esrecurse": "^4.3.0",
+            "estraverse": "^4.1.1"
+          }
+        },
+        "estraverse": {
+          "version": "4.3.0",
+          "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-4.3.0.tgz",
+          "integrity": "sha512-39nnKffWz8xN1BU/2c79n9nB9HDzo0niYUqx6xyqUnyoAnQyyWpOTdZEeiCch8BBu515t4wp9ZmgVfVhn9EBpw==",
+          "peer": true
+        }
+      }
+    },
+    "webpack-sources": {
+      "version": "3.2.3",
+      "resolved": "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.2.3.tgz",
+      "integrity": "sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==",
+      "peer": true
+    },
     "which": {
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
@@ -8480,16 +10516,80 @@
       }
     },
     "which-typed-array": {
-      "version": "1.1.13",
-      "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.13.tgz",
-      "integrity": "sha512-P5Nra0qjSncduVPEAr7xhoF5guty49ArDTwzJ/yNuPIbZppyRxFQsRCWrocxIY+CnMVG+qfbU2FmDKyvSGClow==",
+      "version": "1.1.14",
+      "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.14.tgz",
+      "integrity": "sha512-VnXFiIW8yNn9kIHN88xvZ4yOWchftKDsRJ8fEPacX/wl1lOvBrhsJ/OeJCXq7B0AaijRuqgzSKalJoPk+D8MPg==",
       "dev": true,
       "requires": {
-        "available-typed-arrays": "^1.0.5",
-        "call-bind": "^1.0.4",
+        "available-typed-arrays": "^1.0.6",
+        "call-bind": "^1.0.5",
         "for-each": "^0.3.3",
         "gopd": "^1.0.1",
-        "has-tostringtag": "^1.0.0"
+        "has-tostringtag": "^1.0.1"
+      }
+    },
+    "wrap-ansi": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
+      "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+      "dev": true,
+      "requires": {
+        "ansi-styles": "^6.1.0",
+        "string-width": "^5.0.1",
+        "strip-ansi": "^7.0.1"
+      },
+      "dependencies": {
+        "ansi-regex": {
+          "version": "6.0.1",
+          "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
+          "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
+          "dev": true
+        },
+        "ansi-styles": {
+          "version": "6.2.1",
+          "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
+          "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
+          "dev": true
+        },
+        "strip-ansi": {
+          "version": "7.1.0",
+          "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
+          "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
+          "dev": true,
+          "requires": {
+            "ansi-regex": "^6.0.1"
+          }
+        }
+      }
+    },
+    "wrap-ansi-cjs": {
+      "version": "npm:wrap-ansi@7.0.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
+      "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
+      "dev": true,
+      "requires": {
+        "ansi-styles": "^4.0.0",
+        "string-width": "^4.1.0",
+        "strip-ansi": "^6.0.0"
+      },
+      "dependencies": {
+        "emoji-regex": {
+          "version": "8.0.0",
+          "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+          "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
+          "dev": true
+        },
+        "string-width": {
+          "version": "4.2.3",
+          "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+          "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
+          "dev": true,
+          "requires": {
+            "emoji-regex": "^8.0.0",
+            "is-fullwidth-code-point": "^3.0.0",
+            "strip-ansi": "^6.0.1"
+          }
+        }
       }
     },
     "wrappy": {
diff --git a/frontend/package.json b/frontend/package.json
index 5926896..f3e9018 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -12,21 +12,26 @@
     "@emotion/react": "^11.11.1",
     "@emotion/styled": "^11.11.0",
     "@fontsource/public-sans": "^5.0.15",
+    "@monaco-editor/react": "^4.6.0",
     "@mui/icons-material": "^5.14.14",
     "@mui/material": "^5.14.19",
     "@mui/x-data-grid": "^6.18.1",
     "@reduxjs/toolkit": "^2.1.0",
+    "monaco-editor-webpack-plugin": "^7.1.0",
     "mui-image": "^1.0.7",
-    "next": "13.5.6",
+    "next": "^14.1.0",
+    "next-transpile-modules": "^10.0.1",
     "react": "^18.2.0",
     "react-dom": "^18",
+    "react-monaco-editor": "^0.55.0",
     "react-redux": "^9.1.0",
     "recharts": "^2.10.1",
     "sass": "^1.69.4"
   },
   "devDependencies": {
-    "eslint": "^8",
-    "eslint-config-next": "13.5.6",
+    "eslint": "^8.56.0",
+    "eslint-config-next": "^14.1.0",
+    "eslint-plugin-react": "^7.33.2",
     "prettier": "3.1.0"
   }
 }
diff --git a/frontend/public/automate-icon-navbar-shadow.png b/frontend/public/automate-icon-navbar-shadow.png
new file mode 100644
index 0000000..b5eb1b6
Binary files /dev/null and b/frontend/public/automate-icon-navbar-shadow.png differ
diff --git a/frontend/public/automate-icon-navbar.png b/frontend/public/automate-icon-navbar.png
new file mode 100644
index 0000000..d879a53
Binary files /dev/null and b/frontend/public/automate-icon-navbar.png differ
diff --git a/frontend/public/favicon.ico b/frontend/public/favicon.ico
index 718d6fe..1b2edb7 100644
Binary files a/frontend/public/favicon.ico and b/frontend/public/favicon.ico differ
diff --git a/frontend/src/components/NavigationBar.js b/frontend/src/components/NavigationBar.js
index 2c70289..35449be 100644
--- a/frontend/src/components/NavigationBar.js
+++ b/frontend/src/components/NavigationBar.js
@@ -13,9 +13,9 @@ import Image from "next/image";
 import Link from "next/link";
 import "@fontsource/public-sans";
 
-const pages = ["upload", "profiling", "automl"];
+const pages = ["upload", "profiling", "automl", "query"];
 
-function NavigationBar() {
+const NavigationBar = () => {
   const [anchorElNav, setAnchorElNav] = React.useState(null);
 
   const handleOpenNavMenu = (event) => {
@@ -30,12 +30,12 @@ function NavigationBar() {
     <AppBar position="static">
       <Container maxWidth="xl" >
         <Toolbar disableGutters>
-          <Box sx={{ display: { xs: "none", md: "flex" }, mr: 1 }}>
+          <Box sx={{ display: { xs: "none", md: "flex" }, mr: 2, p: 1 }}>
             <Image
               width={50}
               height={50}
               alt="AutoMate Logo"
-              src="/AutoMate_logo.png"
+              src="/automate-icon-navbar.png"
             />
           </Box>
           <Typography
@@ -47,12 +47,11 @@ function NavigationBar() {
               ml: 2,
               mr: 2,
               display: { xs: "none", md: "flex" },
-              fontFamily: "monospace",
+              fontFamily: "Public Sans, sans-serif",
               fontWeight: 700,
               letterSpacing: ".3rem",
               color: "inherit",
               textDecoration: "none",
-              fontFamily: "Public Sans"
             }}
           >
             AutoMate
diff --git a/frontend/src/pages/automl.js b/frontend/src/pages/automl.js
index 89435e6..ab4c70c 100644
--- a/frontend/src/pages/automl.js
+++ b/frontend/src/pages/automl.js
@@ -1,5 +1,6 @@
 // Automl.js
 import React, { useState, useEffect } from 'react';
+import { useSelector } from 'react-redux';
 import {
   Checkbox,
   Radio,
@@ -19,6 +20,7 @@ const Automl = () => {
   const [checkbox2, setCheckbox2] = useState(false);
   const [checkbox3, setCheckbox3] = useState(false);
   const [radioValue, setRadioValue] = useState('option1');
+  const redux_dataset = useSelector((state) => state.dataset.value);
 
   const toggleChartLoading = () => {
     setChartLoading(!chartLoading);
@@ -50,6 +52,20 @@ const Automl = () => {
     >
       {/* Left Column */}
       <div style={{ width: '50%', padding: '20px' }}>
+        <Typography
+          variant="h2"
+          sx={{
+            marginBottom: 2,
+            fontFamily: "Public Sans",
+            fontSize: "40px",
+          }}
+        >
+          EDA and AutoML
+        </Typography>
+        
+        <p style={{fontFamily: "Public Sans"}} >
+          Current dataset: {redux_dataset}
+        </p>
         <div
           style={{
             marginBottom: '10px',
diff --git a/frontend/src/pages/profiling.js b/frontend/src/pages/profiling.js
index 58e6a61..bcf86a3 100644
--- a/frontend/src/pages/profiling.js
+++ b/frontend/src/pages/profiling.js
@@ -1,4 +1,5 @@
 import React, { useEffect, useState } from 'react';
+import { useSelector } from 'react-redux';
 import Container from '@mui/material/Container';
 import { Paper, Typography, Grid, Box } from '@mui/material';
 import { DataGrid } from '@mui/x-data-grid';
@@ -14,7 +15,8 @@ import {
 const Profiling = () => {
   // Define your data and fetch or process it as needed
   const [data, setData] = useState([]);
-
+  const redux_dataset = useSelector((state) => state.dataset.value);
+  
   useEffect(() => {
     // Fetch or process your data here and set it in the state
     // Example: const fetchData = async () => { ... }
@@ -39,6 +41,10 @@ const Profiling = () => {
       >
         Data Profiling
       </Typography>
+      
+      <p style={{fontFamily: "Public Sans"}} >
+        Current dataset: {redux_dataset}
+      </p>
 
       <Box
         sx={{
diff --git a/frontend/src/pages/query.js b/frontend/src/pages/query.js
new file mode 100644
index 0000000..b726c00
--- /dev/null
+++ b/frontend/src/pages/query.js
@@ -0,0 +1,282 @@
+import React, { useState, useEffect } from 'react';
+import Editor from '@monaco-editor/react';
+import { Table, TableBody, TableCell, TableContainer, TableHead, TableRow,
+        Paper, Button, ListItemText, ListItemButton, Box, Container, Typography
+      } from "@mui/material"
+
+import { PlayCircleOutline, CloudUpload, CloudDownload } from '@mui/icons-material';
+import CircularProgress from '@mui/material/CircularProgress';
+import theme from '@/themes/theme';
+
+// Component to display the list of all datasets
+const DataSetListComponent = ({ onSelectDataSet, uploadTrigger }) => {
+  // hooks to store the datasets and the selected dataset
+  const [dataSets, setDataSets] = useState([]);
+  const [selectedDataSet, setSelectedDataSet] = useState(null);
+
+  useEffect(() => {
+    // Fetch datasets from /api/datasets and update state
+    const fetchData = async () => {
+        try {
+          const res = await fetch("/api/datasets");
+          const data = await res.json();
+          setDataSets(data.names);
+        } catch {
+          console.error("API Endpoint Not Working");
+        }
+      };
+      fetchData();
+  }, [uploadTrigger]);
+
+  const handleSelectDataSet = (dataSet) => {
+    setSelectedDataSet(dataSet);
+    onSelectDataSet(dataSet); // This will pass the selected dataset to the parent component
+  };
+
+  return ( 
+  //render the list of selectable datasets
+  <Paper elevation={3} style={{ padding: '10px', margin: '10px' }}>
+    <Box>
+        {dataSets.map((dataSet, idx) => (
+            <ListItemButton 
+                key={idx} 
+                selected={dataSet === selectedDataSet} 
+                onClick={() => handleSelectDataSet(dataSet)}
+            >
+                <ListItemText primary={dataSet} />
+            </ListItemButton>
+        ))}
+    </Box>
+  </Paper>
+  );
+};
+
+// Component to display the selected dataset
+const DataSetDisplayComponent = ({ selectedDataSet }) => {
+  const [data, setData] = useState([{}]);
+  const [csvString, setCsvString] = useState("");
+
+  useEffect(() => {
+    // Simulate fetching data
+    console.log("FETCHING DATA FOR", selectedDataSet)
+    const fetchData = async () => {
+      try {
+        const res = await fetch(`/api/data?fileName=${encodeURIComponent(selectedDataSet)}`)
+        if (!res.ok) {
+          throw new Error(`Error: ${res.status}`);
+        }
+
+        const data = await res.json();
+        const jsonObject = data.json;
+
+        setCsvString(data.data)
+        setData(jsonObject);
+        
+      } catch (error) {
+        console.error('Failed to fetch data:', error);
+        return null;
+      }
+    };
+    fetchData();
+}, [selectedDataSet]);
+
+  const handleDownload = () => {
+    const blob = new Blob([csvString], { type: 'text/csv' });
+    const url = URL.createObjectURL(blob);
+    const link = document.createElement('a');
+    link.href = url;
+    link.download = `${selectedDataSet}`;
+    link.style.display = 'none'; // Hide the link
+    document.body.appendChild(link); // Append to the document
+    link.click(); // Programmatically click the link to trigger the download
+    URL.revokeObjectURL(url); // Free up memory by releasing the object URL
+    link.remove(); // Remove the link from the document
+  }
+  
+  const [query, setQuery] = useState("-- use `table` for table name, eg:\nSELECT * FROM table LIMIT 2");
+  const [loading, setLoading] = useState(false);
+  const [error, setError] = useState(null);
+  
+  // calls the `/api/bq` endpoint with the `fileName` and `query` parameters
+  const runQuery = async (query) => {
+    setLoading(true); // for the loading spinner
+    setError(null); // clear any previous errors
+    
+    // List of potentially harmful operations
+    const harmfulOps = ['DROP', 'DELETE', 'INSERT', 'UPDATE'];
+
+    // Check if the query contains any harmful operations
+    if (harmfulOps.some(op => query.toUpperCase().includes(op))) {
+      setError('Harmful operations detected');
+      setLoading(false);
+      return;
+    }
+    
+    try {
+      const res = await fetch(`/api/bq?fileName=${encodeURIComponent(selectedDataSet)}&query=${query}`);
+      if (!res.ok) {
+        throw new Error(`Error: ${res.status}`);
+      }
+      
+      const response = await res.json();
+      const data = response.data;
+      setData(data);
+      
+    } catch (error) {
+      console.error('Failed to fetch data:', error);
+      setError("something went wrong, make sure your query is valid"); // inform the user of the error
+      
+    } finally {
+      setLoading(false); // remove the loading spinner
+    }
+  };
+      
+  const headers = data[0] ? Object.keys(data[0]) : [];
+  return (
+    <div style={{ display: 'flex', flexDirection: 'column', alignItems: 'center', padding: '20px' }}>
+       
+        <TableContainer component={Paper} style={{ marginBottom: '20px' }}>
+            <Table>
+                <TableHead>
+                    <TableRow>
+                        {headers.map((header, index) => (
+                            <TableCell key={index}>{header}</TableCell>
+                        ))}
+                    </TableRow>
+                </TableHead>
+                <TableBody>
+                    {data.slice(0, 10).map((item, rowIndex) => (
+                        <TableRow key={rowIndex}>
+                            {Object.values(item).map((value, colIndex) => (
+                                <TableCell key={colIndex}>{value}</TableCell>
+                            ))}
+                        </TableRow>
+                    ))}
+                </TableBody>
+            </Table>
+        </TableContainer>
+        <Typography 
+        variant="h6"
+        sx={{
+          fontFamily: "Public Sans",
+        }}
+      >
+        Run Queries on the Dataset:
+      </Typography>
+      <div style={{ border: '1px solid black', borderRadius: '8px', width: '100%', padding: '1%' }}>
+        <Editor
+          height="20vh"
+          theme='vs'
+          options={{
+            fontSize: 15,
+            minimap: { enabled: false, scale: 1},
+          }}
+          defaultLanguage="sql"
+          value={query}
+          onChange={(value) => setQuery(value)}
+        />
+      </div>
+      {error && <div style={{ color: 'red' }}>{error}</div>}
+      <Button variant="contained" onClick={() => runQuery(query)} style={{ margin: '10px 5px' }}>
+        {loading ? <CircularProgress size={24} color='inherit'/> : <PlayCircleOutline style={{ marginRight: '5px' }}/>}
+        {loading ? "" : "Run"}
+      </Button>
+    </div>
+  );
+};
+
+// Main component to display previous components
+const MainComponent = () => {
+  const [selectedDataSet, setSelectedDataSet] = useState(null);
+  const [uploadTrigger, setUploadTrigger] = useState(0);
+
+  
+  const handleUpload = async (event) => {
+    const file = event.target.files[0];
+    if (!file) {
+        console.error("No file selected.");
+        return;
+    }
+
+    // Prepare FormData
+    const formData = new FormData();
+    formData.append("file", file);
+    formData.append("fileName", file.name); // Adjust according to how you want to name files on the backend
+
+    // Log FormData contents for debugging
+    for (let [key, value] of formData.entries()) {
+        console.log(`${key}:`, value);
+    }
+
+    try {
+        // Make an asynchronous PUT request to your backend
+        const response = await fetch("/api/upload", {
+            method: "PUT",
+            body: formData, // FormData will be correctly interpreted by your backend
+        });
+
+        // Assuming your backend responds with JSON
+        const data = await response.json(); 
+
+        // Handle response
+        if (response.ok) {
+            console.log("Upload successful:", data.message);
+            setUploadTrigger(trigger => trigger + 1);
+
+        } else {
+            console.error("Upload failed:", data.error);
+        }
+    } catch (error) {
+        console.error("Error during upload:", error);
+    }
+};
+
+  
+  const handleSelectDataSet = (dataSet) => {
+    setSelectedDataSet(dataSet);
+  };
+
+  const triggerFileInput = () => {
+    // Trigger the hidden file input click event
+    document.getElementById('file-upload-input').click();
+  };
+
+  return (
+    <Container maxWidth="xl" sx={{ textAlign: "center", marginY: 4 }}>
+      <Typography 
+        variant="h2"
+        sx={{
+          marginBottom: 2,
+          fontFamily: "Public Sans",
+          fontSize: "40px",
+        }}
+      >
+        Query Datasets
+      </Typography>
+      <div style={{ display: 'flex', flexDirection: 'row', justifyContent: 'space-between', alignItems: 'flex-start' }}>
+            <div style={{ flex: 1, textAlign: 'center', margin: '10px' }}>
+                <DataSetListComponent onSelectDataSet={handleSelectDataSet} uploadTrigger={uploadTrigger}/>
+                <div style={{ marginTop: '20px' }}>
+                    <Button variant="contained" color="primary" onClick={triggerFileInput}> <CloudUpload style={{ marginRight: '5px' }}/>Upload</Button>
+                    <input
+                      id="file-upload-input"
+                      type="file"
+                      accept=".csv"
+                      style={{ display: "none" }}
+                      onChange={handleUpload}
+                    />
+                </div>
+
+            </div>
+
+            {selectedDataSet && (
+                <div style={{ flex: 2, margin: '10px' }}>
+                    <DataSetDisplayComponent selectedDataSet={selectedDataSet} />
+                </div>
+            )}
+      </div>
+    </Container>
+  );
+};
+
+export default MainComponent;
\ No newline at end of file
diff --git a/frontend/src/pages/upload.js b/frontend/src/pages/upload.js
index 3896396..844b3d2 100644
--- a/frontend/src/pages/upload.js
+++ b/frontend/src/pages/upload.js
@@ -1,5 +1,6 @@
 import React, { useState, useEffect } from 'react';
-
+import { useSelector, useDispatch } from 'react-redux';
+import { setDataset } from '../store/datasetSlice';
 import { Table, TableBody, TableCell, TableContainer, TableHead, TableRow,
         Paper, Button, ListItemText, ListItemButton, Box, Container, Typography
       } from "@mui/material"
@@ -7,10 +8,13 @@ import { Table, TableBody, TableCell, TableContainer, TableHead, TableRow,
 import CloudUploadIcon from '@mui/icons-material/CloudUpload';
 import CloudDownloadIcon from '@mui/icons-material/CloudDownload';
 
-const DataSetListComponent = ({ onSelectDataSet, uploadTrigger }) => {
+const DataSetListComponent = ({ uploadTrigger }) => 
+{
   const [dataSets, setDataSets] = useState([]);
-  const [selectedDataSet, setSelectedDataSet] = useState(null);
-
+  
+  const redux_dataset = useSelector(state => state.dataset.value);
+  const dispatch = useDispatch();
+  
   useEffect(() => {
     // Fetch datasets from /api/datasets and update state
     const fetchData = async () => {
@@ -25,9 +29,9 @@ const DataSetListComponent = ({ onSelectDataSet, uploadTrigger }) => {
       fetchData();
   }, [uploadTrigger]);
 
-  const handleSelectDataSet = (dataSet) => {
-    setSelectedDataSet(dataSet);
-    onSelectDataSet(dataSet); // This will pass the selected dataset to the parent component
+  const handleSelectDataSet = (dataSet) => 
+  {
+    dispatch(setDataset(dataSet));
   };
 
   return ( //render the list of selectable datasets
@@ -36,7 +40,7 @@ const DataSetListComponent = ({ onSelectDataSet, uploadTrigger }) => {
         {dataSets.map((dataSet, idx) => (
             <ListItemButton 
                 key={idx} 
-                selected={dataSet === selectedDataSet} 
+                selected={dataSet === redux_dataset} 
                 onClick={() => handleSelectDataSet(dataSet)}
             >
                 <ListItemText primary={dataSet} />
@@ -47,16 +51,19 @@ const DataSetListComponent = ({ onSelectDataSet, uploadTrigger }) => {
   );
 };
 
-const DataSetDisplayComponent = ({ selectedDataSet }) => {
+const DataSetDisplayComponent = () => 
+{
   const [data, setData] = useState([{}]);
   const [csvString, setCsvString] = useState("");
+  
+  const redux_dataset = useSelector(state => state.dataset.value);
 
   useEffect(() => {
     // Simulate fetching data
-    console.log("FETCHING DATA FOR", selectedDataSet)
+    console.log("Fetching data for", redux_dataset)
     const fetchData = async () => {
       try {
-        const res = await fetch(`/api/data?fileName=${encodeURIComponent(selectedDataSet)}`)
+        const res = await fetch(`/api/data?fileName=${encodeURIComponent(redux_dataset)}`)
         if (!res.ok) {
           throw new Error(`Error: ${res.status}`);
         }
@@ -73,14 +80,14 @@ const DataSetDisplayComponent = ({ selectedDataSet }) => {
       }
     };
     fetchData();
-}, [selectedDataSet]);
+}, [redux_dataset]);
 
   const handleDownload = () => {
     const blob = new Blob([csvString], { type: 'text/csv' });
     const url = URL.createObjectURL(blob);
     const link = document.createElement('a');
     link.href = url;
-    link.download = `${selectedDataSet}`;
+    link.download = `${redux_dataset}`;
     link.style.display = 'none'; // Hide the link
     document.body.appendChild(link); // Append to the document
     link.click(); // Programmatically click the link to trigger the download
@@ -88,7 +95,7 @@ const DataSetDisplayComponent = ({ selectedDataSet }) => {
     link.remove(); // Remove the link from the document
   }
 
-  const headers = data[0] ? Object.keys(data[0]) : [];
+  const headers = (data && data.length > 0) ? Object.keys(data[0]) : [];
   return (
     <div style={{ display: 'flex', flexDirection: 'column', alignItems: 'center', padding: '20px' }}>
        
@@ -119,11 +126,10 @@ const DataSetDisplayComponent = ({ selectedDataSet }) => {
   );
 };
 
-const MainComponent = () => {
-  const [selectedDataSet, setSelectedDataSet] = useState(null);
+const MainComponent = () => 
+{
   const [uploadTrigger, setUploadTrigger] = useState(0);
-
-  
+   
   const handleUpload = async (event) => {
     const file = event.target.files[0];
     if (!file) {
@@ -164,15 +170,12 @@ const MainComponent = () => {
     }
 };
 
-  
-  const handleSelectDataSet = (dataSet) => {
-    setSelectedDataSet(dataSet);
-  };
-
   const triggerFileInput = () => {
     // Trigger the hidden file input click event
     document.getElementById('file-upload-input').click();
   };
+  
+  const redux_dataset = useSelector(state => state.dataset.value);
 
   return (
     <Container maxWidth="xl" sx={{ textAlign: "center", marginY: 4 }}>
@@ -186,9 +189,15 @@ const MainComponent = () => {
       >
         Upload Your Datasets Here!
       </Typography>
+      
+      { redux_dataset &&     
+      <p style={{fontFamily: "Public Sans"}} >
+        Current dataset: {redux_dataset}
+      </p>}
+      
       <div style={{ display: 'flex', flexDirection: 'row', justifyContent: 'space-between', alignItems: 'flex-start' }}>
             <div style={{ flex: 1, textAlign: 'center', margin: '10px' }}>
-                <DataSetListComponent onSelectDataSet={handleSelectDataSet} uploadTrigger={uploadTrigger}/>
+                <DataSetListComponent uploadTrigger={uploadTrigger}/>
                 <div style={{ marginTop: '20px' }}>
                     <Button variant="contained" color="primary" onClick={triggerFileInput} startIcon={<CloudUploadIcon />}>Upload</Button>
                     <input
@@ -202,9 +211,9 @@ const MainComponent = () => {
 
             </div>
 
-            {selectedDataSet && (
+            {redux_dataset && (
                 <div style={{ flex: 2, margin: '10px' }}>
-                    <DataSetDisplayComponent selectedDataSet={selectedDataSet} />
+                    <DataSetDisplayComponent/>
                 </div>
             )}
       </div>
diff --git a/frontend/src/store/datasetSlice.js b/frontend/src/store/datasetSlice.js
new file mode 100644
index 0000000..b842a41
--- /dev/null
+++ b/frontend/src/store/datasetSlice.js
@@ -0,0 +1,22 @@
+import { createSlice } from '@reduxjs/toolkit';
+
+export const datasetSlice = createSlice({
+  name: 'dataset',
+  initialState: {
+    value: '',
+  },
+  reducers: {
+    setDataset: (state, action) => {
+      console.log('action', action);
+      state.value = action.payload;
+    },
+    clearDataset: (state) => {
+      state.value = '';
+    },
+  },
+});
+
+export const { setDataset, clearDataset } = datasetSlice.actions;
+
+// imported as datasetReducer in store.js
+export default datasetSlice.reducer;
diff --git a/frontend/src/store/fileSlice.js b/frontend/src/store/fileSlice.js
deleted file mode 100644
index 29c97e7..0000000
--- a/frontend/src/store/fileSlice.js
+++ /dev/null
@@ -1,20 +0,0 @@
-import { createSlice } from '@reduxjs/toolkit';
-
-export const fileSlice = createSlice({
-  name: 'file',
-  initialState: {
-    value: '',
-  },
-  reducers: {
-    setFile: (state, action) => {
-      state.value = action.payload;
-    },
-    clearFile: (state) => {
-      state.value = '';
-    },
-  },
-});
-
-export const { setFile, clearFile } = fileSlice.actions;
-
-export default fileSlice.reducer;
diff --git a/frontend/src/store/store.js b/frontend/src/store/store.js
index eb656de..d1347f3 100644
--- a/frontend/src/store/store.js
+++ b/frontend/src/store/store.js
@@ -1,8 +1,8 @@
 import { configureStore } from '@reduxjs/toolkit';
-import fileReducer from './fileSlice';
+import datasetReducer from './datasetSlice';
 
 export default configureStore({
   reducer: {
-    file: fileReducer,
+    dataset: datasetReducer,
   },
 });
diff --git a/machine-learning/Auto_ML_CNN_Modelipynb.ipynb b/machine-learning/Auto_ML_CNN_Modelipynb.ipynb
index 9588099..3ece621 100644
--- a/machine-learning/Auto_ML_CNN_Modelipynb.ipynb
+++ b/machine-learning/Auto_ML_CNN_Modelipynb.ipynb
@@ -548,13 +548,13 @@
             ],
             "application/javascript": [
               "\n",
-              "    async function download(id, filename, size) {\n",
+              "    async function download(id, fileName, size) {\n",
               "      if (!google.colab.kernel.accessAllowed) {\n",
               "        return;\n",
               "      }\n",
               "      const div = document.createElement('div');\n",
               "      const label = document.createElement('label');\n",
-              "      label.textContent = `Downloading \"${filename}\": `;\n",
+              "      label.textContent = `Downloading \"${fileName}\": `;\n",
               "      div.appendChild(label);\n",
               "      const progress = document.createElement('progress');\n",
               "      progress.max = size;\n",
@@ -582,7 +582,7 @@
               "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
               "      const a = document.createElement('a');\n",
               "      a.href = window.URL.createObjectURL(blob);\n",
-              "      a.download = filename;\n",
+              "      a.download = fileName;\n",
               "      div.appendChild(a);\n",
               "      a.click();\n",
               "      div.remove();\n",
diff --git a/machine-learning/get_model.py b/machine-learning/get_model.py
new file mode 100644
index 0000000..72d8030
--- /dev/null
+++ b/machine-learning/get_model.py
@@ -0,0 +1,39 @@
+from pycaret.classification import setup as classification_setup, compare_models as classification_compare_models, finalize_model
+from pycaret.regression import setup as regression_setup, compare_models as regression_compare_models, finalize_model
+import pandas as pd
+import joblib
+
+def perform_classification(data, target_column):
+
+    classification_setup(data = data, target = target_column)
+    best_model = classification_compare_models()
+    final_model = finalize_model(best_model)
+
+    model_file_path = 'classification_model.pkl'
+    joblib.dump(final_model, model_file_path)
+
+    return final_model, model_file_path
+
+def perform_regression(data, target_column):
+
+    regression_setup(data = data, target = target_column)
+    best_model = regression_compare_models()
+    final_model = finalize_model(best_model)
+
+    model_file_path = 'regression_model.pkl'
+    joblib.dump(final_model, model_file_path)
+
+    return final_model, model_file_path
+
+def get_model(data, target_column, task):
+    
+    data = data # Supplied dataset
+    target_column = target_column
+    task = task.upper() # Either R or C
+    
+    if task == 'C':
+        final_model, model_file_path = perform_classification(data, target_column)
+    elif task == 'R':
+        final_model, model_file_path = perform_regression(data, target_column)
+
+    return final_model, model_file_path