End-to-End Chess bot FlaskApp

A web-based chess application with bot opponent, built using Flask and Python.

🧩 Overview

This project offers a complete web application where a user can log in/register, play a game of chess against a bot, and view the board and moves in real time. The backend is written in Python using the Flask micro-framework. The chess logic (move validation, bot behaviour, game state) is handled in Python modules such as chess_logic.py, analysis.py, ai.py. The front-end uses HTML, CSS, JavaScript (in the templates and static folders) to provide the game interface. User authentication, database models (via models.py), and migrations are included.

🎮 Screenshots

Below are some visual snapshots of the application:

🚀 Features

• User authentication (login/register)
• Chess board UI in browser, move input & display of game state
• Bot opponent with logic defined in ai.py
• Move analysis and game-state logic in chess_logic.py
• Persistent game states (via database models in models.py)
• Use of migrations (folder migrations) to handle database schema
• Modular structure: e.g., analysis.py handles game-analysis routines

🔧 Tools & Technologies

• Flask – lightweight web-framework for Python. ([flask.palletsprojects.com][1])
• Python – core logic language
• SQLite / SQLAlchemy – for persistence (via models.py)
• HTML / CSS / JS – front-end UI
• Migrations (Flask-Migrate or Alembic implied)
• Possibly front-end board library (if used) – e.g., chessboard.js, chess.js (check repo code)
• Modular Python design: separate modules for logic, AI, models, etc
• Version control: Git (via this GitHub repo)

📁 Project Structure

/__pycache__/  
/instance/  
/migrations/  
/static/  
/templates/  
ai.py  
analysis.py  
app.py  
chess_logic.py  
models.py  
requirements.txt  
.gitignore  
Snaps/

• app.py: Main Flask application entrypoint
• chess_logic.py: Game rules, state updates, move validation
• ai.py: Bot logic / strategy
• analysis.py: Possibly contains analysis routines or helper functions
• models.py: Database models (e.g., Users, Games, Moves)
• requirements.txt: Python dependencies
• Snaps/: Folder containing screenshots
• static/ and templates/: Front-end assets (CSS, JS, HTML)
• migrations/: Database migration files
• instance/: Private instance configuration (possibly for Flask)

📝 Installation & Setup

1. Clone the repository

   git clone https://github.com/Raimal-Raja/End-to-End-Chess-bot-FlaskApp.git
   cd End-to-End-Chess-bot-FlaskApp

2. Set up a Python virtual environment

   python3 -m venv venv
   source venv/bin/activate  # or venv\Scripts\activate on Windows

3. Install dependencies

   pip install -r requirements.txt

4. Configure the database (check instance/ for config)

5. Apply database migrations

   flask db upgrade

6. Run the application

   flask run

7. Open your browser at http://localhost:5000 (or configured address) and register/login to start a game.

📚 Resources & Further Reading

Chess Competitions & Community

• FIDE (International Chess Federation) – official chess competitions and ratings
• Chess.com Tournaments – online tournaments and community
• Lichess Events – free and open-source chess platform

Chess Rules & Game Logic

• Official FIDE Laws of Chess
• Chess Basics – Moves, Pieces & Board
• Algebraic Notation of Chess Moves

Bot / Python Modules & Libraries

• python-chess library documentation – Useful for board representation, move generation
• Flask Official Documentation – for building web apps in Python. ([flask.palletsprojects.com][1])
• SQLAlchemy ORM – for database modelling
• chessboard.js & chess.js – JavaScript libraries for chess UI and logic

License

Specify the license under which this project is released (e.g., MIT License). If none is present, consider adding one. Example:

MIT License  
© 2025 Raimal Raja

✅ Contribution

Contributions, issues and feature requests are welcome! Feel free to fork the repo and submit pull requests. Please ensure your code adheres to the project style and includes appropriate tests / documentation.

📌 Future Enhancements

• Add multiple difficulty levels for the bot
• Enable online multiplayer mode (user vs user)
• Improve UI/UX board animations
• Add move-history display and analysis for finished games
• Deploy the app to a cloud service (Heroku, AWS, etc)

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