A Calculator Web App that recognizes handwritten numbers and math symbols and can perform arithmetic and relational operations.
Based on a CNN model that classifies the symbol into 0:9, +, -, x, >, < and neq after extracting it from the input image using image processing techniques.
Deployed to: https://handwritting-based-calculator.herokuapp.com/
- Keras : for building and training a CNN model
- OpenCV : for image processing tasks
- Flask : for deploying as a web app
-
can recognize multi-digit numbers and perform arithmetic operations:
-
can perform relational operations and gives result as True or False:
-
can check if the syntax is correct or not:
- Data acquisition: Dataset from Kaggle
- Data cleaning and processing: cleaned data for required symbols to data_cleaned.rar (extracted)
- Data Modelling: Built and Trained CNN model using Keras
- Input image pre-processed using OpenCV for basic image processing and to extracted contours to get individual symbols
- Each symbol predicted by giving extracted symbol image as an input to the model
- Mathematical operations are performed on the predictions and output a final result
- Web Application: Used Flask to envelope the model as a web app to provide the user a simple interface
- Deployment: Deployed the Web App to Heroku using Docker
- Install Requirements:
- Python 3.8+ (preferred 3.10.2)
- For other requirements, run
pip install -r Requirements.txt(In case of installation failures due to opencv, try:apt-get update && apt-get install -y python3-opencv.)
- Clone the GitHub Repository and cd into project's root directory.
- Run the application using
python app.py. Application should now run on http://localhost:5000/
- Add more symbols like divide, log, square root, etc.
- Improve web app, make more dynamic and responsive
- Add functionalities to the drawing canvas like resize, eraser, etc.
- Deployed to Heroku using Docker
- Refactored and Updated code