Mahila Sunaksha is a web application designed to enhance women's safety by providing real-time, data-driven route suggestions. By calculating safety scores for each district based on crime rates, it helps users select the safest routes and avoid high-risk areas. The app integrates live crime data, empowering women to make informed travel decisions, thereby promoting security in communities.
- Real-time Safety Scores: Calculates district-wise safety scores based on crime data to suggest the safest routes.
- Interactive Maps: Displays routes with safety ratings on interactive maps.
- User Reports: Allows users to report unsafe areas, helping others avoid potential risks.
- Route Planning: Helps users plan safe paths based on district crime data.
- Frontend: HTML, CSS, JavaScript – UI design and client-side scripting.
- Leaflet.js: Interactive maps to display routes.
- OpenCage API: Geocoding services to convert location names into geographic coordinates.
- Backend: Python and Flask – HTTP requests, routing, and server-side logic.
- Database: MySQL – Stores district-wise crime data and user reports.
- Data Processing: Pandas and NumPy – Used to process and analyze crime data to generate safety scores.
- Crime Data: Government Crime Dataset – Used to calculate safety scores for districts.
- Route Safety Calculation: The app calculates a safety score for each district based on crime rates from the dataset, guiding users to the safest routes.
- Crime Reporting: Users can report unsafe areas, contributing to the dataset and helping others avoid those zones.
- Interactive Map: The user interacts with a map to choose their route, with safety scores visible for each district along the way.
- Late-night travel: A woman uses Mahila Sunaksha to find the safest route for her late-night travel, avoiding high-crime areas.
- Incident Reporting: After completing her journey, a user reports an unsafe area due to an incident or crime witnessed, helping future travelers.
- Daily Commute: A woman uses the app daily to ensure she follows the safest route to and from work.
- Group Outing: A group of women uses the app to plan the safest path for their outing, avoiding risky areas.
To get started with the project, clone this repository and follow the setup instructions.
git clone https://github.com/yourusername/mahilasunaksha.git
cd mahabasunaksha-
Install necessary dependencies:
pip install -r requirements.txt
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Set up your MySQL database and import the crime dataset.
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Run the Flask application:
python app.py
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Open the application in your browser at
http://localhost:5000.
Feel free to fork the repository, create a new branch, and submit pull requests. Contributions are welcome!