{"id":25990196,"url":"https://github.com/kishanvyas308/ai-mini-projects","last_synced_at":"2026-07-15T06:31:11.252Z","repository":{"id":273371786,"uuid":"919412139","full_name":"KishanVyas308/Ai-Mini-Projects","owner":"KishanVyas308","description":"This repository contains a collection of AI-based mini projects. Each project demonstrates the application of different AI algorithms and techniques. Currently, the repository includes the following projects:","archived":false,"fork":false,"pushed_at":"2025-01-21T03:25:01.000Z","size":23,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-19T09:52:54.287Z","etag":null,"topics":["bfs-search","dfs-search","maze-solver","minimax-algorithm","python","tic-tac-toe-ai","tic-tac-toe-python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/KishanVyas308.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-20T10:46:04.000Z","updated_at":"2025-01-21T03:25:05.000Z","dependencies_parsed_at":"2025-01-20T14:43:29.886Z","dependency_job_id":"5c69589b-b14a-4540-a322-74abfaff0593","html_url":"https://github.com/KishanVyas308/Ai-Mini-Projects","commit_stats":null,"previous_names":["kishanvyas308/ai-mini-projects"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/KishanVyas308/Ai-Mini-Projects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KishanVyas308%2FAi-Mini-Projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KishanVyas308%2FAi-Mini-Projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KishanVyas308%2FAi-Mini-Projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KishanVyas308%2FAi-Mini-Projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/KishanVyas308","download_url":"https://codeload.github.com/KishanVyas308/Ai-Mini-Projects/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KishanVyas308%2FAi-Mini-Projects/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35494971,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-15T02:00:06.706Z","response_time":131,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bfs-search","dfs-search","maze-solver","minimax-algorithm","python","tic-tac-toe-ai","tic-tac-toe-python"],"created_at":"2025-03-05T13:38:35.985Z","updated_at":"2026-07-15T06:31:11.228Z","avatar_url":"https://github.com/KishanVyas308.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Mini Projects\n\nThis repository contains a collection of AI-based mini projects. Each project demonstrates the application of different AI algorithms and techniques. Currently, the repository includes the following projects:\n\n1. [Tic Tac Toe with AI](#tic-tac-toe-with-ai)\n2. [Maze Search Algorithms](#maze-search-algorithms)\n\nMore projects will be added in the future.\n\n## Tic Tac Toe with AI\n\nThis project is a GUI-based implementation of the classic Tic Tac Toe game, featuring an AI opponent that uses the minimax algorithm to make optimal moves.\n\n### Features\n\n- Play against an AI opponent\n- User-friendly graphical interface using Tkinter\n- Game board display\n- Win condition checks\n- Restart functionality\n\n### Video - Demo\n\n\nhttps://github.com/user-attachments/assets/483969d9-4111-4ebc-af76-70a42bc6b80e\n\n\n\n### Files\n\n- `src/tictactoe.py`: Main entry point of the game, handling the game loop and user input.\n- `requirements.txt`: Lists the dependencies required for the project.\n\n### Installation\n\n1. Clone the repository:\n   ```\n   git clone https://github.com/KishanVyas308/Ai-Mini-Projects.git\n   ```\n2. Navigate to the Tic Tac Toe project directory:\n   ```\n   cd Ai-Mini-Projects/Tic-Tac-Toe-With-AI\n   ```\n3. Install the required dependencies:\n   ```\n   pip install -r requirements.txt\n   ```\n\n### Usage\n\nTo start the game, run the following command:\n```\npython src/tictactoe.py\n```\n\nEnjoy playing Tic Tac Toe against a challenging AI!\n\n## Maze Search Algorithms\n\nThis project demonstrates the implementation of various search algorithms to solve a maze. The maze is represented as a grid, and the algorithms find the path from the start point 'A' to the end point 'B'.\n\n### Features\n\n- Depth-First Search (DFS)\n- Breadth-First Search (BFS)\n- Visualization of the maze and the solution path\n\n### Video - Demo\n\n\nhttps://github.com/user-attachments/assets/33fba71b-7971-4de1-8b35-7a9940cdee72\n\n\n### Files\n\n- `maze.py`: Main script to run the maze solver.\n- `maze1.txt`: Example maze file.\n\n### Installation\n\n1. Clone the repository:\n   ```\n   git clone https://github.com/KishanVyas308/Ai-Mini-Projects.git\n   ```\n2. Navigate to the Maze Search Algorithms project directory:\n   ```\n   cd Ai-Mini-Projects/Maze-Search-Algorithms\n   ```\n\n### Usage\n\nTo solve the maze, run the following command:\n```\npython maze.py maze1.txt\n```\n\nThe solution will be printed in the console, and an image of the maze with the solution path will be saved as `maze.png`.\n\n## Contributing\n\nContributions are welcome! Please fork this repository and submit a pull request with your changes. Ensure your code follows the project's coding standards and includes appropriate tests.\n\n## License\n\nThis project is licensed under the MIT License. See the `LICENSE` file for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkishanvyas308%2Fai-mini-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkishanvyas308%2Fai-mini-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkishanvyas308%2Fai-mini-projects/lists"}