Overview

This project demonstrates a sophisticated AI assistant that integrates seamlessly with WhatsApp. Users can interact with the bot using simple trigger commands, and it responds with intelligent, context-aware answers powered by Google's latest Gemini 2.0 Flash AI model.

Key Features

🧠 Intelligent AI Agent

• Powered by Google Gemini 2.0 Flash for fast, accurate responses
• Context-aware conversations that understand intent
• Configurable response styles and creativity levels

💬 WhatsApp Integration

• Works in both personal and group chats
• Multiple trigger patterns (!ask, @bot, @ai, >)
• Real WhatsApp Web integration (not unofficial APIs)

📊 Monitoring Dashboard

• Beautiful Streamlit-based web interface
• Real-time message statistics and analytics
• Response time tracking
• Test environment for trying queries

How It Works

User Experience

Simply message your WhatsApp with a trigger command: !ask What is quantum computing?

The bot processes your message and responds with a concise, intelligent answer.

Multi-Agent Architecture

The system uses a sophisticated multi-agent orchestration approach:

1. Trigger Detection: Identifies if a message is for the bot.
2. Agent Orchestrator: Routes the request to the appropriate agent (Q&A, Tools, Memory).
3. Gemini Processing: Generates the response.
4. WhatsApp Bridge: Sends the response back to the chat.

Technical Architecture

• AI/ML: Google Gemini 2.0 Flash, LangChain, LangGraph
• Backend: Python 3.10+, Go 1.19+
• WhatsApp: whatsapp-mcp bridge
• Database: SQLite
• Dashboard: Streamlit
• APIs: REST, WebSocket