AI-Based Forest Fire & Wildlife Rescue Coordination System

Project Overview: This project uses Artificial Intelligence techniques to coordinate wildlife rescue operations during forest fire emergencies.

Features: 1)Forest Fire Risk Assessment 2)Wildlife Habitat Allocation 3)Route Planning 4)Bayesian Reasoning 5)Hybrid AI Integration

Algorithms Implemented: CO1: Intelligent Agents; PEAS Model.

CO2: BFS; DFS; UCS; Greedy Search; A* Search.

CO3: CSP; Backtracking; MRV; LCV; Forward Checking.

CO4: Utility-Based Decision Making; Minimax; Alpha-Beta Pruning; Multi-Agent Coordination.

CO5: Bayes Rule; Bayesian Networks; Sensor Fusion; HMM; Markov Chain; Belief Propagation.

CO6: Hybrid AI Integration; Technologies Used; Python; Object-Oriented Programming; Artificial Intelligence Algorithms.