A machine learning powered app that predicts student burnout risk based on lifestyle and academic factors.

Create a .env file in the project and add Gemini API key for AI suggestions based basned on analyzing patterns:

GEMINI_API_KEY=your_api_key_here

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

If you get any errors with the requirements installation, ensure you are using Python 3.11

pip install -r requirements.txt

python app.py

Open your browser and navigate to http://127.0.0.1:5000

• Burnout Risk Assessment: Predict burnout risk based on study hours, screen time, stress level physical activity, and course load
• MBI-Compliant Model: Uses Maslach Burnout Inventory (MBI) standards
• AI-Powered Suggestions: Get personalized recommendations via Gemini AI