Solves KenKen puzzles, by representing it as a Constraint Satisfaction Problem (CSP)

Sudoku Solver by constraint satisfaction problem (CSP) using heuristics - Minimum Remaining Value (MRV), Least Common Value (LCV), Maintainin Arc Consistency (MAC). Secondly, by converting to Satisfiability Problem (SAT) and using a sat solver (miniSAT).

Implementation of CSP heuristics and backtracking algorithm for magnet puzzle in Rust.

A KenKen python solver that represents the game as a Constraint Satisfaction Problem (CSP) and can use several algorithms for its solution.

This was a university AI project where I had to implement different constraint satisfaction problem methods and use them to solve sudoku puzzles

🗓️ Fundamentals of AI, 4th and 5th laboratory. Schedule making app (using 🧬 genetic, minimum remaining values, power heuristics, least constraining values and forward-checking algorithms).

A CSP approach to solve magnet puzzle problem

Machine Learning Sudoku Solver that implmements various machine learning heauristics to solve 3x3, 4x4, and 5x5 sudoku puzzles