AUT Principles and Applications of Artificial Intelligence course (Fall 2020) projects
Solve Sudoku with Python using the CSF approach
second project at AUT Artificial Intelligence course (Fall 2020)
CSP-Sudoku solver
A futoshiki solver tool using backtracking with some pruning methods.
This project is a sudoku-solver implement by Constraint satisfaction problem. We add the colour option to our sudoku problem as if the number of a place is bigger than other neighbours, the colour of that place must be higher in a given colour's priority. We use the Constraint satisfaction problem(CSP), as we said before, in additional apply deg…
we slove sudoku tables as a CSP problem using Backtrack algorithm with forward Checking and MRV and Degree heuristics.
Solve Sudoku as a Constraint Satisfaction Problem
Solving Sudoku puzzle with CSP
This project solves a Futoshiki Board given an input files using the least number of moves. Backtracking, forward checking, the mrv heuristic, and the degree heuristic was used.
An AI for solving Sudoku. 🤖 ⚡️
A program to solve Sudoku with Backtracking.
Backtracking Algo optimized with forward checking, MRV heuristics, degree heuristics and LCV-heuristics
CSP Map Coloring
This is a sudoku solver by doing backtracking search with forward checking using an MRV and degree heuristic. This was worked on in a group of myself and two other members.
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