Python Mini Projects Collection

A curated collection of Python mini-projects designed for learning, exploration, and practical application development.

📋 Table of Contents

• Overview
• Projects
• Getting Started
• Project Structure
• Requirements
• Contributing
• License
• Contact

🎯 Overview

This repository contains a diverse collection of Python mini-projects that demonstrate various programming concepts, libraries, and real-world applications. Each project is self-contained and includes comprehensive documentation to help you understand and extend the functionality.

🚀 Projects

AI & Machine Learning

• Analyzia - AI-powered data analysis and visualization tool
• Cognix - Intelligent assistant with cognitive capabilities
• ConvertirseAI - AI-powered conversion tool
• EduGen - Educational content generator
• FindMind - Mind mapping and cognitive tool
• Movie Recommender - ML-based movie recommendation system
• Personal Knowledge Assistant - AI-powered knowledge management
• RepoRAG - Repository Retrieval Augmented Generation
• Synapto - Neural network visualization tool

Productivity & Organization

• Basto - Task and goal management system
• BudgetBuddy - Personal finance management tool
• Knowledge Base - Information organization system
• InnoGenie - Innovation and idea management

Utilities & Tools

• Calculator - Enhanced calculator application
• Bloodly - Blood donation management bot
• News App - News aggregation application
• Oratio - Voice and vision assistant

Games & Entertainment

• Tic-Tac-Toe - Classic game implementation
• ZombieZapper - 2d Arcade-style game

Data Analysis

• Rokomari Book Prediction - Book recommendation analysis

🛠️ Getting Started

Prerequisites

• Python 3.8 or higher
• pip package manager
• Git (for cloning the repository)

Installation

1. Clone the repository:

   git clone https://github.com/ahammadnafiz/Python-Mini-Projects.git
   cd Python-Mini-Projects

2. Navigate to a specific project:

   cd project-name

3. Install dependencies:

   pip install -r requirements.txt

4. Run the project:

   python main_file.py

📁 Project Structure

Each project follows a consistent structure:

project-name/
├── README.md              # Project documentation
├── requirements.txt       # Python dependencies
├── main_file.py          # Main application file
├── config.py             # Configuration settings (if applicable)
├── assets/               # Static assets (images, data files)
└── tests/                # Unit tests (if applicable)

🔧 Requirements

• Python Version: 3.8+
• Common Dependencies: Listed in individual project requirements.txt files
• System Requirements: Varies by project (detailed in individual READMEs)

🤝 Contributing

We welcome contributions from the community! Here's how you can help:

Ways to Contribute

• 🐛 Report bugs by opening an issue
• 💡 Suggest new features or improvements
• 🔧 Submit pull requests with bug fixes or enhancements
• 📚 Improve documentation and code comments
• ✨ Add new mini-projects following our guidelines

Contribution Guidelines

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes and test thoroughly
4. Commit your changes (git commit -m 'Add amazing feature')
5. Push to the branch (git push origin feature/amazing-feature)
6. Open a Pull Request

Adding New Projects

When adding a new project:

• Create a dedicated directory with a descriptive name
• Include a comprehensive README.md
• Add a requirements.txt file
• Follow Python best practices and PEP 8 style guide
• Include appropriate comments and documentation

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📧 Contact

Nafiz Ahmad

• Email: ahammadnafiz@outlook.com
• GitHub: @ahammadnafiz

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Happy coding! 🚀