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Pathfinding with Fuel Constraints – AI Project

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.

Project Structure

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).

Features

  • 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.

🖥️ How to Run

🔧 Prerequisites

  • Python 3.x
  • Flask

Installation

git clone https://github.com/yourusername/pathfinding-with-fuel.git
cd pathfinding-with-fuel
pip install flask

TO RUN THE FILE

python app.py

-- Now open the browser on: http://127.0.0.1:5000

About

This is mainly used for the finding the shortest path between two places with the help of the A* algorithm and finding the nearest driver possible

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