“Supercharge Your WhatsApp: Introducing the AI Copilot Desktop App”

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Supercharge Your WhatsApp: Introducing the AI Copilot Desktop App

Have you ever wished your WhatsApp could do more than just send messages? Imagine an intelligent assistant right within your chat interface, ready to help you manage conversations, schedule tasks, and even draft replies. That’s exactly what the WhatsApp AI Assistant project aims to deliver!
check it out here : https://github.com/Bhaskar-kumar-arya/AI-powered-Whatsapp-assistant
This project is an Electron-based desktop application that emulates WhatsApp Web, but with a powerful twist: an integrated AI Copilot. It leverages the baileys library for seamless WebSocket communication with WhatsApp, a local SQLite database for persistent chat data, and the incredible Google Gemini API for intelligent assistance.

Why an AI Copilot for WhatsApp?

The primary motivation behind this project is to enhance the WhatsApp experience, making it more efficient and intelligent. In our fast-paced digital lives, we often find ourselves juggling multiple conversations and tasks. The goal here is to streamline various interactions and automate tasks that are currently manual, giving you back valuable time and mental energy.

Key Features That Make Your WhatsApp Smarter

This application isn’t just a WhatsApp Web clone; it’s an upgrade. Here’s what it brings to the table:

  • WhatsApp Web Emulation with Persistent Authentication: Connects to WhatsApp via QR code scanning, providing real-time chat synchronization. No more scanning QR codes every time you open the app!
  • Local Data Storage: All your chat, contact, and message data are stored persistently in a local SQLite database using better-sqlite3, ensuring your information is always at hand.
  • Intuitive User Interface: A React-based frontend with a familiar WhatsApp Web-like layout, featuring a chat list, conversation view, and, of course, the star of the show: the AI Copilot panel.
  • AI Copilot Integration: A dedicated third panel powered by the Google Gemini API that can “see” messages in your currently active chat. This context-awareness is crucial for truly helpful AI.
  • Function Calling for AI: The AI Copilot isn’t just for suggestions; it can take action! It can send messages to active chats by leveraging powerful function calling capabilities.

See the AI Copilot in Action!

The third panel is where the magic happens:

https://github.com/Bhaskar-kumar-arya/AI-powered-Whatsapp-assistant/blob/main/copilot.png

  • Real-time Message Handling: Processes new messages and updates the UI in real-time, keeping you always in sync.

What’s Currently Implemented?

We’re actively building out the intelligence! Right now, the AI Copilot can:

  • “See” messages in the active chat, providing relevant context for its responses.
  • Send messages to active chats using function calling, allowing you to instruct it to perform actions.

The Road Ahead: Future Plans

This is just the beginning! We have exciting plans to make the AI Copilot even more powerful:

  • Calendar Integration: Seamlessly extract dates and events from conversations and add them to your calendar.
  • Scheduled Messages: The ability to schedule messages to be sent at a later time.
  • AI Auto-Reply: Configure the AI to automatically reply to messages based on predefined rules or context, perfect for managing busy periods.
  • Backend Logic Migration: Transition all backend logic to a dedicated server to enable features like scheduled messages and auto-replies without requiring your local device to be online.

Under the Hood: Technologies Used

This project is a blend of modern web and desktop technologies:

  • Frontend: Electron, React, TypeScript, Zustand (for state management)
  • Backend (Electron Main Process): Node.js, TypeScript, baileys (for WhatsApp interaction), better-sqlite3 (for local database), pino (for logging)
  • AI: Google Gemini API (@google/genai)
  • Database: SQLite

Get Started and Try It Out!

Ready to experience a smarter WhatsApp? Here’s how you can get this running on your machine:

  1. Clone the repository: 

    git clone https://github.com/Bhaskar-kumar-arya/AI-powered-Whatsapp-assistant.git
cd WhatsappAssistant/electron-app

  2. Install dependencies: 

    npm install

  3. Set up Google Gemini API Key:
    Create a .env file in the electron-app directory and add your Google Gemini API key: 

    VITE_GOOGLE_API_KEY=YOUR_GEMINI_API_KEY

  4. Run the application: 

    npm run dev

How to Use

  1. Upon launching, a QR code will appear. Scan it with your WhatsApp mobile app to link your account.
  2. Once connected, your chats will synchronize. (Note: For now, a restart might be needed after the initial sync).
  3. Click any chat to view the conversation.
  4. The right-hand panel is your AI Copilot. Interact with it, and it will use the context of your active chat.
  5. Instruct the AI to send messages using natural language, and watch it execute via function calling!

Project Structure Highlights

For those who like to peek under the hood, here are some key directories:

  • electron-app/src/main/: Contains the Electron main process logic, including whatsappClient.ts (WhatsApp interaction), db.ts (database initialization), and dbQueries.ts (database operations).
  • electron-app/src/renderer/src/: Houses the React frontend application.
    • electron-app/src/renderer/src/App.tsx: The main React component, handling connection status and layout.
    • electron-app/src/renderer/src/store.ts: Zustand for global state management.
    • electron-app/src/renderer/src/components/Pane3_AIPanel.tsx: The AI Copilot panel, integrating with the Gemini API.

Join the Journey!

This project is an exciting exploration into making our daily communication more intelligent and efficient. We welcome contributions, feedback, and ideas from the community. Feel free to explore the code, open issues, or suggest new features!

Let’s build a smarter WhatsApp experience together!

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