AI-Powered Project Generator

A Streamlit application that uses AI to gather product requirements through interactive chat and automatically generates complete project structures with code files.

Screenshots

Chat Interface

Generated Folder Structure

Product Requirements Document

Features

• Interactive Chat Interface: Engage with an AI assistant to define your project requirements
• Intelligent Requirements Gathering: AI-powered conversation to extract detailed product specifications
• Automatic Project Generation: Creates complete folder structures and code files based on requirements
• GitHub Integration: Automatically commits and pushes generated projects to GitHub
• PDF Processing: Support for document analysis and processing
• Downloadable Projects: Generate ZIP files of your complete project

Tech Stack

• Frontend: Streamlit with custom theming
• AI/ML: OpenAI GPT models, LangChain
• Document Processing: PDFPlumber, PyPDF2, pdfminer.six
• Version Control: GitPython integration
• Data Processing: Pandas

Installation

1. Clone the repository:

git clone <repository-url>
cd <project-directory>

2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables:

cp example.env .env
# Edit .env with your OpenAI API key and other configurations

4. Run the application:

streamlit run pages/Init_Chat.py

Usage

1. Start a Conversation: Begin by describing your project idea in the chat interface
2. Answer Questions: The AI will ask clarifying questions to understand your requirements
3. Review Summary: Once complete, review the generated product requirements document
4. Generate Project: The system automatically creates a complete project structure
5. Download or Push: Either download the ZIP file or push directly to GitHub

Project Structure

├── pages/              # Streamlit pages
├── services/           # Business logic and AI processing
├── utils/              # Utility functions
├── exceptions/         # Custom exception handlers
├── renderers/          # UI rendering components
└── .streamlit/         # Streamlit configuration

Configuration

• Copy example.env to .env and configure your API keys
• Modify .streamlit/config.toml for UI theming preferences

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

[Add your license information here]