Mental Health Analytics App

The site deployed using streamlit

This project collects user responses through a survey, computes stress scores, provides basic machine-learning-based predictions, and visualizes insights using an analytics dashboard.

⚠️ This project is for educational and awareness purposes only.

🚀 Features 📝 Interactive mental health survey 📊 Stress scoring system based on responses 🤖 Simple machine learning model for stress-level prediction 📈 Analytics dashboard with visualizations 🎨 Adaptive UI (works in both light & dark mode) 💾 Data storage using CSV files ⚠️ Ethical disclaimer for mental health use

📁 Project Structure MentalHealthProject/ ├── app.py ├── README.md ├── .gitignore ├── pages/ │ └── 1_Analytics_Dashboard.py

▶️ How to Run the Project Clone the repository or download the code Install required libraries: pip install streamlit pandas matplotlib scikit-learn

Run the application: -streamlit run app.py

-Open the local URL shown in the terminal

📊 Analytics Dashboard The analytics page provides:

-Age distribution of respondents

-Stress score distribution

-Gender-wise participation

-Stress-level categorization

⚠️ Disclaimer

This application does not provide medical advice or diagnosis. It is intended only for learning, awareness, and academic purposes. If you are experiencing mental distress, please consult a qualified mental health professional.

🌱 Future Improvements

-Use real-world datasets for ML training

-Add authentication for users

-Deploy the app publicly

-Improve analytics with correlation & trend analysis