Student Work(Assignment)|CSC384 Introduction to AI – Heuristic Pathfinding Work Video |UofT

Student | Client Work(Assignment)|CSC384 AI Search Algorithm – Graph Puzzle Output Video | University of Toronto

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📘 Course: CSC384 – Introduction to Artificial Intelligence
🎓 Program: BSc in Computer Science
🏫 University: University of Toronto (Canada)
📂 Assignment: Heuristic Search – Graph Problem Solving

This video presents my solution for a heuristic-based graph problem developed as part of the CSC384 Artificial Intelligence course at UofT. The assignment involves using search algorithms such as A*, Greedy Best-First Search, and Uniform Cost Search to efficiently solve graph-based pathfinding problems using heuristic cost estimates.

🔍 Key Concepts Demonstrated:

Graph representation and state space traversal
Implementation of heuristic functions
Optimal vs non-optimal path decisions
Priority queue, visited states, and cost updates
Search tree exploration and node expansion tracking
Python or pseudo-code-based solution breakdown

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