A Flask-powered contact tracing system that uses geolocation data to identify potentially infected individuals based on proximity to a known infected path. Features OTP-based sign-in via email and visualizes contact zones using an interactive map.
- 📧 Email OTP Authentication: Sends a 6-digit OTP to the user's email for secure login.
- 🧭 Contact Tracing Algorithm: Uses proximity search (BallTree from
scikit-learn) to identify possible infections. - 🗺️ Interactive Map: Generates a dynamic map with infected zones and user location using Folium.
- 📄 CSV Export: Outputs detailed contact tracing data as a downloadable CSV file.
- 📊 HTML Table View: Display the result data table inside the browser.
- 💻 Flask Web Interface: Simple and responsive web interface for user interaction.
- Python 3.x
- Flask
- Flask-Mail
- Pandas
- NumPy
- Scikit-learn
- Folium (for map generation)
- HTML, CSS (Jinja2 templates)
📁 your-project/ │ ├── app.py # Main Flask application ├── templates/ │ ├── index.html # Home page with OTP flash message │ ├── results.html # Results display with map │ └── csvcontents.html # Rendered CSV contents ├── map_visualization.html # Generated interactive map ├── contact_tracing_results.csv # Output data of contact tracing ├── requirements.txt # Python dependencies └── README.md # Project overview
