CoverBot is an intelligent chatbot powered by Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) that helps users analyze documents and extract meaningful insights through natural conversation.
- The user uploads a cover letter or other type of document which needs to be analyzed
- CoverBot retrieves text data and gets ready to answer all important questions which the user is interested in document
- Interactive conversation helps users understand their documents better
- 📄 Document Upload & Analysis
- 💬 Natural Language Q&A
- 🔍 Smart Context Retrieval
- 🎯 Focused Document Insights
- ⚡ Real-time Response Generation
- LLM Integration: LangChain
- Vector Database: Pinecone
- Language Model: Gemini
- Backend/Frontend: Streamlit
- Document Processing: PyPDF2
- Python 3.8+
- pip (Python package installer)
- Git
- Virtual environment (recommended)
git clone https://github.com/yourusername/coverbot.git
cd coverbot# For Windows
virtualenv .venv
source .venv\Scripts\activate
# For macOS/Linux
virtualenv .venv
source .\venv\bin\activate# Core dependencies
pip install -r requirements.txt
# In a new terminal, start the frontend
streamlit run frontend/app.py- Port Already in Use
# Kill process using port 8000
lsof -i :8000
kill -9 <PID>- 🔘 Interactive buttons with recommended questions for faster workflow
- 📱 Mobile-Responsive UI
- 🔄 Batch Processing
- 📊 Analytics Dashboard
- 🔐 User Authentication
- 📝 Cover Letter Analysis
- 📄 Resume Screening
- 📑 Document Summarization
- ❓ FAQ Generation
- 📈 Content Analysis
We welcome contributions! Please follow these steps:
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
- Creator: Edgar Abasov
- Email: [email protected]
- LinkedIn: www.linkedin.com/in/edgar-abasov/