Project Title: Flask-Based Web Application for Fastest Route Navigation to Jalandhar Civil Hospital
Description:
This project is a dynamic web application developed using Flask that determines the fastest route to Jalandhar Civil Hospital from a given location using Dijkstra’s Algorithm. The application features an interactive SVG map that visually represents the road network, nodes (intersections), and real-time simulated traffic conditions. Each route is computed by taking both distance and traffic delays into account, allowing for more realistic and practical routing.
Key Features:
- Dijkstra’s Algorithm for calculating the shortest path based on weighted graph representation.
- Dynamic Traffic Simulation that alters edge weights in real-time to mimic traffic congestion and affect route computation accordingly.
- Interactive SVG Map Interface where users can:
- Select starting points manually.
- View highlighted optimal paths to the destination (Jalandhar Civil Hospital).
- Hover over or click on roads/nodes to see traffic status or road names.
- Modular Design with clear separation between the frontend (HTML/CSS/JS + SVG map) and backend (Flask + Python logic).
- Scalable: Easily extendable to include multiple destinations, more cities, or real-time traffic data from APIs in the future.
Use Cases:
- Helps emergency services and ambulance drivers find the fastest route to the hospital.
- Useful for urban planning and traffic management simulations.
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