README.md

metadata

title: Juno AI - Advanced AI Assistant
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit

Juno AI - Advanced AI Assistant

🤖 Juno AI is an advanced conversational AI assistant with document processing, web scraping, memory management, and RAG (Retrieval Augmented Generation) capabilities.

Features

• 🧠 Intelligent Conversation: Natural conversation with memory retention
• 📄 Document Processing: Upload and analyze PDF documents with OCR support
• 🌐 Web Scraping: Extract and analyze content from web URLs
• 💭 Memory Management: Remembers context across conversations
• 🔍 RAG Search: Smart retrieval from uploaded documents
• 🎯 Multi-Modal Support: Text, voice input, and document analysis
• 🌙 Dark/Light Theme: Customizable interface
• 💾 Conversation History: Save and load previous conversations

Technology Stack

• Backend: Flask with Python
• AI Model: Google Gemini 1.5 Flash
• Vector Store: ChromaDB with HuggingFace embeddings
• Document Processing: PyPDF2 with OCR fallback
• Web Scraping: BeautifulSoup4
• Frontend: Vanilla JavaScript with modern CSS

How to Use

1. Start a conversation by typing your message
2. Upload PDF documents for analysis and Q&A
3. Use web scraping to analyze online content
4. Access conversation history and memory
5. Switch between light and dark themes

Environment Variables Required

• GEMINI_API_KEY: Your Google Gemini API key

Local Development

1. Install dependencies: pip install -r requirements.txt
2. Set up environment variables
3. Run: python app.py

Built with ❤️ using Flask and Google Gemini AI