This is a simple AI-powered pathfinding simulation that introduces fuel constraints into the routing logic. The project demonstrates how a pathfinding algorithm (e.g., A*, Dijkstra) adapts when an agent is limited by fuel and must plan accordingly.
| File/Folder | Description |
|---|---|
app.py |
Main Flask application that handles route logic and serves the frontend. |
templates/ |
Contains HTML templates (e.g., index.html) for rendering the UI. |
index.html |
The main web interface for interacting with the pathfinding system. |
README.md |
Project documentation (you're reading it). |
- AI Pathfinding: Uses intelligent algorithms to compute the shortest or optimal path.
- Fuel Constraint: Incorporates fuel consumption logic to affect decisions.
- Web Interface: Clean and minimal frontend for user interaction.
- Fast Response: Designed to provide real-time or near real-time feedback.
- Extendable: Can be integrated with maps, obstacles, refueling stations, etc.
- Python 3.x
- Flask
git clone https://github.com/yourusername/pathfinding-with-fuel.git
cd pathfinding-with-fuel
pip install flaskpython app.py-- Now open the browser on: http://127.0.0.1:5000