Obesity Level Predictor

Overview

This project is aimed at predicting obesity levels based on various factors such as demographic data, dietary habits, physical activity, etc. The predictions are made using machine learning models trained on historical data.

Features

• Predicts obesity levels based on user inputs.
• Provides personalized recommendations for maintaining a healthy lifestyle.
• Visualizes trends in obesity rates over time.

Usage

1. Clone the repository to your local machine.
2. Install the required dependencies listed in requirements.txt.
3. Run the application using python app.py.
4. Access the application through your web browser at http://localhost:5000.

Contributors

• Rajat Malviya

Contact

For any inquiries or suggestions, please contact [[email protected]]

Images

Home-page:
Form-page:
Report-page:

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