{"id":23448559,"url":"https://github.com/nirajxtha/chess","last_synced_at":"2026-02-18T07:02:23.402Z","repository":{"id":266858857,"uuid":"844888541","full_name":"NirajXtha/chess","owner":"NirajXtha","description":"Chess ai using minimax, optimized with alpha-beta pruning in PHP","archived":false,"fork":false,"pushed_at":"2025-03-06T15:23:06.000Z","size":35369,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-13T17:42:58.580Z","etag":null,"topics":["alpha-beta-pruning","chess","chess-library","core-php","core-php-project","dashboard","design","game","minimax-algorithm","no-framework","php"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","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/NirajXtha.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":"2024-08-20T06:56:44.000Z","updated_at":"2025-03-06T15:23:10.000Z","dependencies_parsed_at":"2025-04-13T17:47:11.816Z","dependency_job_id":null,"html_url":"https://github.com/NirajXtha/chess","commit_stats":null,"previous_names":["nirajxtha/chess"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/NirajXtha/chess","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NirajXtha%2Fchess","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NirajXtha%2Fchess/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NirajXtha%2Fchess/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NirajXtha%2Fchess/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NirajXtha","download_url":"https://codeload.github.com/NirajXtha/chess/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NirajXtha%2Fchess/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29571888,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-18T06:19:27.422Z","status":"ssl_error","status_checked_at":"2026-02-18T06:18:44.348Z","response_time":162,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["alpha-beta-pruning","chess","chess-library","core-php","core-php-project","dashboard","design","game","minimax-algorithm","no-framework","php"],"created_at":"2024-12-23T22:17:09.145Z","updated_at":"2026-02-18T07:02:23.384Z","avatar_url":"https://github.com/NirajXtha.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Chess Application with Alpha-Beta Pruning: Intelligent Move Generation  \n\nWelcome to our **Chess Application**, a beginner-friendly chess platform designed to help users understand chess strategies and learn the game through intelligent AI-powered move suggestions. Built with the **Minimax Algorithm** enhanced by **Alpha-Beta Pruning**, this application ensures optimal gameplay by evaluating all possible moves and counter-moves efficiently.  \n\n---\n\n## 🏆 **Objectives**  \n1. **Develop a Competitive AI Opponent**: The AI evaluates and simulates all potential scenarios to challenge users at every level.  \n2. **Optimize Decision-Making**: By leveraging **Alpha-Beta Pruning**, the AI minimizes potential losses and maximizes potential gains for smarter gameplay.  \n\n---\n\n## 🚀 **Features**  \n\n### 1. **User Account System**  \n- **Login/Register**: Secure accounts with **OTP-based authentication**.  \n- **Profile Management**: Edit and customize user profiles easily.  \n\n### 2. **Interactive Chess Gameplay**  \n- **Player vs AI**: Users can challenge the AI opponent to learn and improve.  \n- **AI vs AI Simulation**: Watch and analyze AI decisions to understand the mechanics behind optimal moves.  \n- **Move Validation \u0026 Visualization**: Ensure every move adheres to chess rules with clear visual feedback.  \n\n### 3. **Social Interaction**  \n- **Friend Requests**: Connect with other players by sending and receiving friend requests.  \n- **Match History**: Review past games to track progress and learn from mistakes.  \n\n### 4. **AI-Powered Insights**  \n- **Best Move Suggestion**: Learn optimal strategies as the AI evaluates every possible move and its consequences.  \n\n---\n\n## 📖 **Development Model**  \nThis project follows the **Prototype Model**, iteratively refining features to ensure a user-friendly and efficient experience.  \n\n---\n\n## 🎥 **Demo \u0026 Interface**  \nBelow are examples of our **application interface** and a **gameplay demo**. \n\u003cimg src=\"https://i.ibb.co/dsTQHmJ/dashboard.png\"\u003e \u003cbr\u003e\n\u003cimg src=\"https://i.ibb.co/kqyG6tS/game.png\"\u003e \u003cbr\u003e\n![Gameplay Demo](https://i.ibb.co/zJBHNTj/Chess-Demo.gif)\n\n---\n\n## 📩 **Request Documentation**  \nIf you'd like the **detailed documentation** of this project, feel free to reach out at:  \n**📧 Email**: [nishrestha776@gmail.com](mailto:nishrestha776@gmail.com)  \n\n---\n\n## 💻 **Tech Stack**  \n- **Frontend**: HTML, CSS, JavaScript  \n- **Backend**: PHP  \n- **Database**: MySQL  \n- **Server Environment**: Laragon  \n\n---\n\n## 🌟 **How It Works**  \n1. **Alpha-Beta Pruning**:  \n   The AI evaluates each move using the **Minimax Algorithm**, with **Alpha-Beta Pruning** reducing unnecessary calculations, making decision-making faster and more efficient.  \n\n2. **User Journey**:  \n   - Register or log in with OTP authentication.  \n   - Set up a match or analyze an AI-vs-AI game.  \n   - Learn through intuitive move visualization and feedback.  \n   - Interact socially through friend requests and match history tracking.  \n\n---\n\n### 📜 **License**  \nThis project is open-source and available for learning and non-commercial purposes.  \n\n---\n\nLet’s **master chess** together! ♟️\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnirajxtha%2Fchess","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnirajxtha%2Fchess","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnirajxtha%2Fchess/lists"}