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.
Visit Nutritional Data Visualization to access the app online without any local setup.
- Create a virtual enviroment
python -m venv env
source env/Scripts/activate
- Add dependencies
pip install -r requirements.txt
- Run the project
streamlit run dashboard.py