Visual Exploration of Food Composition Data

About the project

This tool is designed to help you analyze and gain valuable insights into nutritional components through intuitive data visualizations. The web app is built using:

• Streamlit: A powerful Python library for creating web applications.
• Plotly and Matplotlib: These libraries are employed for creating dynamic and visually appealing charts and graphs.
• Scikit-learn: The app incorporates Scikit-learn for natural language processing (NLP) and machine learning functionalities.

Running the project online

Visit Nutritional Data Visualization to access the app online without any local setup.

Running the project locally

1. Create a virtual enviroment

python -m venv env source env/Scripts/activate

2. Add dependencies

pip install -r requirements.txt

3. Run the project

streamlit run FoodVis.py