Project Sahyog is a map-based crime reporting application designed to enhance safety and support during emergencies. It features real-time crime reporting, offline SOS calls, and safe path navigation. The application leverages machine learning to predict crime likelihood and facilitates community support through witness involvement.
- Map-Based Crime Reporting: Report crimes directly from the map interface.
- Offline SOS Calling: Initiate emergency SOS calls without internet access using location services.
- Safe Path Guidance: Navigate safely based on crowd-sourced data.
- Crime Prediction: ML model predicts crime likelihood in different regions.
- Automatic Police Notification: Automatically calls the nearest police station based on user location.
- Witness Support: Allows nearby witnesses to support complaints if they are in the same area as the victim.
- Clone the repository:
git clone https://github.com/yourusername/sahyog.git- Navigate to the project directory:
cd sahyog- Install dependencies:
pip install -r requirements.txt- Set up the environment variables as specified in .env.example.
- Run the application:
python app.py
- Open the application in your browser at Localhost.
This project is licensed under the MIT License - see the LICENSE file for details.
 Prachit Mhalgi |
 Rahul Mistry |
 Gayatri Srinivasan |
 Girish Thatte |
 Amisha Waghela |