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SafePath

SafePath is an intelligent navigation platform helps users choose safer routes instead of just fater ones. It analyzes real-time crime data, user reports, and police APIs to compute a dynamic Safety Index Score for every road segment while guiding people through the safest possible paths in urban areas.

Technical Architecture

  • Frontend: Tailwind CSS + Leaflet.js (OpenStreetMap)
  • Backend: Django (core server), FastAPI (supporting microservices)
  • Database: PostgreSQL + PostGIS for geospatial processing

How It Works

  • Collect Data: Crime stats, police API inputs, user-reported incidents.
  • Process Geo-Data: Normalize, geocode, and store using PostGIS.
  • Compute Safety Index: Weighted scoring based on crime history, density, and time-of-day.
  • Generate Routes: Modified Dijkstra/A* algorithm prioritizing safety over shortest path.
  • Visualize: Heatmaps + route overlays displayed using Leaflet.js.

Installation & Setup

  1. Clone the repository
git clone https://github.com/LilSuperUser/SafePath.git
cd ./SafePath
  1. Install the dependencies in a python virtual environment
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
  1. Start the server
python manage.py runserver
  1. Visit 127.0.0.1:8000

License

This project is licensed under the GPL v3 License. You are free to use, modify, and distribute this software under the terms of the GPL v3 license