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0GChat - Decentralized Workplace Communication Platform

0GChat Logo

Introduction

0GChat is a revolutionary decentralized communication and productivity platform built on the 0G blockchain. Designed for modern workplace collaboration, it combines secure messaging, automatic translation, and AI-powered productivity tools in a blockchain-native environment.

Demo Link

0GChat Demo

Getting Started

This project was bootstrapped with Create React App.

Prerequisites

  • Node.js (v14 or later)
  • npm or yarn
  • Web3 wallet (MetaMask, WalletConnect, etc.)

Installation

  1. Clone the repository:

    git clone https://github.com/your-repo/0gchat.git
    cd 0gchat
  2. Install dependencies:

    npm install
  3. Configure environment variables: Create a .env file based on .env.example and add your configuration.

Available Scripts

In the project directory, you can run:

npm start

Runs the app in development mode.
Open http://localhost:3000 to view it in your browser.

npm test

Launches the test runner in interactive watch mode.

npm run build

Builds the app for production to the build folder.

npm run eject

Note: this is a one-way operation. Ejects from Create React App configuration.

Key Features

🚀 Wallet-Based Authentication

  • Passwordless login using Web3 wallets
  • Simple onboarding with username and language selection

🌍 Decentralized Messaging with Auto-Translation

  • Add contacts by wallet address
  • Real-time message translation between languages
  • End-to-end encrypted communications

🤖 AI-Powered Productivity

  • Automated work report generation from chat history
  • Task tracking and priority management
  • Smart reminders and follow-up suggestions

⛓ Blockchain Native

  • Built on 0G's decentralized storage and computation
  • Transparent billing with $A0GI token payments
  • All transactions recorded on-chain

Technical Architecture

  • Frontend: React.js with Web3 integration
  • Blockchain: 0G network for decentralized operations
  • AI Services: Hybrid model combining fine-tuned internal knowledge with RAG
  • Storage: Decentralized storage for messages and user data

Future Roadmap

We're working on implementing our Internal Intelligence System:

  1. Gather HR documents and department responsibilities
  2. Collect historical task records from internal platforms
  3. Incorporate employee capability data
  4. Fine-tune lightweight models using 0G's infrastructure
  5. Deploy hybrid AI system (70% fine-tuned model, 30% RAG)

Support & Contact

Have questions or want to get involved?

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