🎙️ CollabVoice

Next-Generation Collaborative Code Editor with AI Integration

Code Together. Build Together. Ship Together.

📋 Table of Contents

Overview
Key Features
Architecture
Tech Stack
Getting Started
Project Structure
Feature Roadmap
Development Timeline
API Documentation
Contributing
License

🌟 Overview

CollabVoice is a cutting-edge collaborative code editor that revolutionizes the way teams write, review, and deploy code. By combining real-time collaboration, AI-powered assistance, video communication, and integrated version control, CollabVoice provides an all-in-one development environment that eliminates the need for multiple tools and platforms.

Whether you're pair programming with a colleague across the globe, conducting code reviews with video discussions, or leveraging AI agents to detect anomalies and suggest optimizations, CollabVoice streamlines your entire development workflow into a single, intuitive platform.

🎯 Vision

To create a unified development ecosystem where developers can collaborate seamlessly with both human teammates and AI agents, with built-in intelligence to catch errors, suggest improvements, and maintain code quality—all while maintaining complete control over their codebase through integrated version control and storage.

✨ Key Features

🔄 Real-Time Collaborative Editing

Live Code Synchronization: See changes from all collaborators in real-time with cursor tracking and presence indicators
Multi-User Support: Work with unlimited team members simultaneously on the same codebase
Conflict Resolution: Intelligent merge algorithms prevent overwrites and handle simultaneous edits
Session Management: Create, join, and manage collaborative coding sessions with ease

🤖 AI-Powered Intelligence

AI Code Agents: Intelligent assistants that understand your codebase and provide contextual suggestions
Anomaly Detection: Machine learning algorithms continuously scan for bugs, security vulnerabilities, and code smells
Smart Autocomplete: Context-aware code completion powered by deep learning models
Code Quality Analysis: Real-time feedback on code quality, performance, and best practices
Refactoring Suggestions: AI recommends improvements and can automatically refactor code

📹 Integrated Video Communication

HD Video Calling: Built-in video conferencing for pair programming and code reviews
Screen Sharing: Share your screen or specific editor panels with team members
Voice Chat: High-quality voice communication without leaving the editor
Recording Capabilities: Record coding sessions for documentation and training purposes

🗂️ Version Control & Storage

Built-in Git Integration: Full-featured version control without external tools
Custom Version Control System: Lightweight, editor-native versioning for quick iterations
Cloud Storage: Secure, encrypted storage for all your projects and files
Branch Management: Create, merge, and manage branches with visual tools
Commit History Visualization: Interactive timeline of all changes with diff views
Rollback Capabilities: Easily revert to any previous state of your code

🔍 Machine Learning Features

Pattern Recognition: Identify recurring patterns and suggest code reusability improvements
Performance Prediction: ML models predict performance bottlenecks before deployment
Security Scanning: Automated vulnerability detection using trained models
Code Similarity Analysis: Detect duplicated code and suggest consolidation
Bug Prediction: Identify code likely to contain bugs based on historical data

🎨 Developer Experience

Syntax Highlighting: Support for 100+ programming languages
Customizable Themes: Dark mode, light mode, and custom themes
Extensions & Plugins: Extensible architecture for community plugins
Keyboard Shortcuts: Fully customizable keybindings
Multi-Panel Layouts: Split views, tabs, and flexible workspace organization

🏗️ Architecture

CollabVoice follows a modern microservices architecture with clear separation of concerns:

┌─────────────────────────────────────────────────────────────┐
│                     Frontend (React + Vite)                  │
│  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │   Editor    │  │  Video/Voice │  │   AI Assistant   │  │
│  │   Monaco    │  │   WebRTC     │  │     Panel        │  │
│  └─────────────┘  └──────────────┘  └──────────────────┘  │
└──────────────────────────┬──────────────────────────────────┘
                           │ REST API / WebSocket
┌──────────────────────────┴──────────────────────────────────┐
│                   Backend (Python Flask)                     │
│  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │   API       │  │  WebSocket   │  │   ML Engine      │  │
│  │  Gateway    │  │   Server     │  │  (TensorFlow)    │  │
│  └─────────────┘  └──────────────┘  └──────────────────┘  │
│  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │  Auth &     │  │   Version    │  │   Storage        │  │
│  │  Session    │  │   Control    │  │   Manager        │  │
│  └─────────────┘  └──────────────┘  └──────────────────┘  │
└──────────────────────────┬──────────────────────────────────┘
                           │
┌──────────────────────────┴──────────────────────────────────┐
│                    Data Layer                                │
│  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │  PostgreSQL │  │    Redis     │  │   S3/MinIO       │  │
│  │  (Metadata) │  │   (Cache)    │  │   (Files)        │  │
│  └─────────────┘  └──────────────┘  └──────────────────┘  │
└─────────────────────────────────────────────────────────────┘

Component Breakdown

Frontend Layer

Editor Core: Monaco Editor integration for code editing
Collaboration Engine: WebSocket-based real-time synchronization
Video Module: WebRTC implementation for video/voice
AI Interface: Chat-like interface for AI interactions
State Management: Redux/Zustand for application state

Backend Layer

API Gateway: RESTful endpoints for CRUD operations
WebSocket Server: Real-time event handling and broadcasting
Authentication Service: JWT-based auth with OAuth support
ML Pipeline: TensorFlow/PyTorch models for code analysis
Version Control Engine: Git integration + custom VCS
Storage Service: File management and cloud sync

Data Layer

Primary Database: PostgreSQL for user data, sessions, and metadata
Cache Layer: Redis for session management and real-time data
Object Storage: S3-compatible storage for code files and assets

🛠️ Tech Stack

Frontend

Framework: React 18.2 with Hooks and Context API
Build Tool: Vite 5.0 for lightning-fast development
Code Editor: Monaco Editor (VS Code engine)
UI Components: Custom components + Tailwind CSS
State Management: Redux Toolkit
Real-time: Socket.io Client
Video/Voice: WebRTC with Simple Peer
HTTP Client: Axios
Routing: React Router v6

Backend

Language: Python 3.11+
Framework: Flask 3.0 with Flask-CORS
Real-time: Socket.IO for WebSocket communication
Machine Learning: TensorFlow 2.x, scikit-learn, PyTorch
Code Analysis: AST parsing, Pylint, Black
Authentication: JWT, OAuth 2.0, bcrypt
Version Control: GitPython, custom VCS implementation
Task Queue: Celery with Redis
API Documentation: Flask-RESTX with Swagger

Database & Storage

Primary DB: PostgreSQL 15
Cache: Redis 7.x
Object Storage: MinIO (S3-compatible)
Search: Elasticsearch (for code search)

DevOps & Infrastructure

Containerization: Docker & Docker Compose
Orchestration: Kubernetes (production)
CI/CD: GitHub Actions
Monitoring: Prometheus + Grafana
Logging: ELK Stack (Elasticsearch, Logstash, Kibana)

Machine Learning Pipeline

Anomaly Detection: Isolation Forest, Autoencoders
Code Completion: Transformer-based models (GPT architecture)
Bug Prediction: Random Forest, XGBoost
Code Similarity: Sentence Transformers, CodeBERT
Security Scanning: Pattern matching + ML classifiers

🚀 Getting Started

Prerequisites

Ensure you have the following installed on your system:

Node.js 18.x or higher
npm or yarn package manager
Python 3.11 or higher
pip package manager
Git for version control

Installation

1️⃣ Clone the Repository

git clone https://github.com/ashutosh-engineer/collabvoice.git
cd collabvoice

2️⃣ Frontend Setup

# Navigate to frontend directory
cd Frontend

# Install dependencies
npm install

# Start development server
npm run dev

The frontend will be available at http://localhost:3000

3️⃣ Backend Setup

# Navigate to backend directory
cd Backend

# Create virtual environment (recommended)
python -m venv venv

# Activate virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Run the Flask server
python app.py

The backend API will be available at http://localhost:5000

4️⃣ Environment Configuration

Create a .env file in the Backend directory:

FLASK_ENV=development
FLASK_DEBUG=1
SECRET_KEY=your-super-secret-key-change-in-production
DATABASE_URL=postgresql://user:password@localhost:5432/collabvoice
REDIS_URL=redis://localhost:6379/0
JWT_SECRET=your-jwt-secret-key
ALLOWED_ORIGINS=http://localhost:3000

Quick Start with Docker (Coming Soon)

docker-compose up -d

🚀 Production Deployment

Render (Backend)

For deploying the Flask backend on Render, see the detailed guide: Backend/RENDER_DEPLOYMENT.md

Key points:

Python version is pinned to 3.11.9 via runtime.txt and render.yaml
Use the included render.yaml Blueprint for Infrastructure as Code deployment
Set PYTHON_VERSION=3.11.9 environment variable if runtime.txt is ignored

Vercel (Frontend)

The React frontend can be deployed on Vercel with zero configuration.

📁 Project Structure

CollabVoice/
│
├── Frontend/                  # React + Vite frontend application
│   ├── public/               # Static assets
│   │   ├── logo.jpeg        # Application logo
│   │   └── index.html       # HTML entry point
│   ├── src/                 # Source code
│   │   ├── components/      # React components
│   │   │   ├── Editor/     # Code editor components
│   │   │   ├── Video/      # Video call components
│   │   │   ├── AI/         # AI assistant UI
│   │   │   └── Sidebar/    # Navigation and tools
│   │   ├── services/       # API and WebSocket services
│   │   ├── hooks/          # Custom React hooks
│   │   ├── store/          # State management
│   │   ├── utils/          # Utility functions
│   │   ├── App.jsx         # Main app component
│   │   ├── App.css         # Global styles
│   │   ├── main.jsx        # Entry point
│   │   └── index.css       # Base CSS
│   ├── vite.config.js      # Vite configuration
│   └── package.json        # Dependencies and scripts
│
├── Backend/                  # Python Flask backend
│   ├── api/                 # API route handlers
│   │   ├── auth.py         # Authentication endpoints
│   │   ├── editor.py       # Editor operations
│   │   ├── video.py        # Video/voice signaling
│   │   └── ml.py           # ML model endpoints
│   ├── models/              # Database models
│   │   ├── user.py
│   │   ├── session.py
│   │   └── project.py
│   ├── services/            # Business logic
│   │   ├── collaboration.py # Real-time sync logic
│   │   ├── version_control.py # VCS implementation
│   │   ├── ml_engine.py    # ML model inference
│   │   └── storage.py      # File storage service
│   ├── ml_models/           # Machine learning models
│   │   ├── anomaly_detector.py
│   │   ├── code_analyzer.py
│   │   └── bug_predictor.py
│   ├── utils/               # Utility modules
│   ├── config.py            # Configuration
│   ├── app.py              # Flask application
│   ├── requirements.txt    # Python dependencies
│   └── .env.example        # Environment template
│
├── docs/                     # Documentation
│   ├── API.md              # API documentation
│   ├── ARCHITECTURE.md     # Architecture details
│   └── CONTRIBUTING.md     # Contribution guidelines
│
├── tests/                    # Test suites
│   ├── frontend/           # Frontend tests
│   └── backend/            # Backend tests
│
├── scripts/                  # Utility scripts
│   ├── setup.sh            # Setup automation
│   └── deploy.sh           # Deployment script
│
├── .gitignore               # Git ignore rules
├── docker-compose.yml       # Docker orchestration
├── README.md               # This file
└── LICENSE                  # MIT License

🗺️ Feature Roadmap

Phase 1: Foundation (Weeks 1-2) ⏳

Phase 2: Core Collaboration (Weeks 3-4)

WebSocket implementation for real-time sync
Multi-user editing with operational transformation
Presence indicators (who's online, cursor tracking)
Session management (create, join, leave)
Basic chat functionality

Phase 3: Video Communication (Weeks 5-6)

WebRTC integration for peer-to-peer video
Signaling server implementation
Screen sharing capabilities
Audio-only mode
Recording and playback features

Phase 4: AI Integration (Weeks 7-9)

AI code completion engine
Context-aware suggestions
Code explanation and documentation generation
Refactoring recommendations
Natural language to code conversion

Phase 5: ML-Powered Analysis (Weeks 10-12)

Anomaly detection model training
Security vulnerability scanner
Bug prediction algorithms
Code smell detection
Performance optimization suggestions
Continuous model improvement pipeline

Phase 6: Version Control (Weeks 13-14)

Git integration (clone, commit, push, pull)
Custom lightweight VCS for quick saves
Branch visualization and management
Diff viewer with syntax highlighting
Merge conflict resolution UI
Blame view and history timeline

Phase 7: Storage & Sync (Weeks 15-16)

Phase 8: Polish & Optimization (Weeks 17-18)

⏱️ Development Timeline

Sprint Overview

Total Development Time: ~3 Months (18 weeks)

Phase	Duration	Focus Area	Key Deliverables
Phase 1	2 weeks	Setup & Architecture	Project foundation, basic UI/API
Phase 2	2 weeks	Real-time Collaboration	Live coding, cursor sync
Phase 3	2 weeks	Communication	Video/voice integration
Phase 4	3 weeks	AI Features	Code completion, suggestions
Phase 5	3 weeks	ML Analysis	Anomaly detection, security
Phase 6	2 weeks	Version Control	Git integration, custom VCS
Phase 7	2 weeks	Storage	Cloud sync, file management
Phase 8	2 weeks	Launch Prep	Testing, docs, optimization

Weekly Goals

Each week follows an agile sprint cycle:

Day 1-2: Planning and design
Day 3-5: Implementation
Day 6: Testing and bug fixes
Day 7: Review, documentation, and deployment

Continuous Tasks (Throughout Development)

Daily: Code commits, standup meetings
Weekly: Sprint reviews, integration testing
Bi-weekly: Stakeholder demos, feedback incorporation
Monthly: Performance audits, security reviews

📚 API Documentation

Authentication Endpoints

`POST /api/auth/register`

Register a new user account.

Request Body:

{
  "username": "johndoe",
  "email": "john@example.com",
  "password": "securePassword123"
}

Response:

{
  "success": true,
  "user": {
    "id": "user_123",
    "username": "johndoe",
    "email": "john@example.com"
  },
  "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
}

`POST /api/auth/login`

Authenticate and receive JWT token.

`GET /api/auth/me`

Get current user information (requires authentication).

Editor Endpoints

`POST /api/sessions`

Create a new collaborative coding session.

`GET /api/sessions/:id`

Join an existing session.

`PUT /api/sessions/:id/code`

Update code in real-time (also via WebSocket).

ML Endpoints

`POST /api/ml/analyze`

Analyze code for anomalies, bugs, and security issues.

Request Body:

{
  "code": "def function():\n    x = 1/0\n    return x",
  "language": "python"
}

Response:

{
  "anomalies": [
    {
      "line": 2,
      "type": "ZeroDivisionError",
      "severity": "high",
      "message": "Division by zero detected"
    }
  ],
  "suggestions": [
    "Add error handling for division operations"
  ]
}

`POST /api/ml/complete`

Get AI-powered code completions.

`POST /api/ml/explain`

Get natural language explanation of code.

WebSocket Events

Client → Server

join-session: Join a collaborative session
code-change: Broadcast code changes
cursor-move: Update cursor position
user-typing: Notify others of typing status

Server → Client

user-joined: New user joined session
user-left: User left session
code-update: Code changed by another user
cursor-update: Cursor position update
ai-suggestion: AI recommendation available

Full API documentation available at /api/docs when server is running.

🤝 Contributing

We welcome contributions from the community! Here's how you can help:

Getting Involved

Fork the repository
Create a feature branch
```
git checkout -b feature/amazing-feature
```
Make your changes
- Write clean, documented code
- Follow existing code style
- Add tests for new features
Commit your changes
```
git commit -m 'Add amazing feature'
```
Push to your branch
```
git push origin feature/amazing-feature
```
Open a Pull Request

Contribution Guidelines

Code Style: Follow PEP 8 for Python, ESLint for JavaScript
Commits: Use conventional commit messages (feat:, fix:, docs:, etc.)
Testing: Ensure all tests pass and add new ones for features
Documentation: Update docs for any API or feature changes
Issues: Check existing issues before creating new ones

Areas We Need Help

🐛 Bug fixes and testing
📝 Documentation improvements
🌐 Internationalization (i18n)
🎨 UI/UX enhancements
🤖 ML model improvements
🔌 Plugin development

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License

Copyright (c) 2026 CollabVoice Team

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

🙏 Acknowledgments

Monaco Editor - The powerful code editor powering our interface
Flask Community - For the excellent Python web framework
React Team - For the incredible frontend library
TensorFlow - For ML capabilities
WebRTC Project - For real-time communication
Open Source Community - For inspiration and tools

📞 Contact & Support

Website: https://collabvoice.dev
Email: support@collabvoice.dev
Discord: Join our community
Twitter: @CollabVoice
GitHub Issues: Report bugs

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Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
Backend		Backend
Frontend		Frontend
.gitignore		.gitignore
LICENSE		LICENSE
Readme.md		Readme.md
render.yaml		render.yaml
runtime.txt		runtime.txt

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ashutosh-engineer/Collabvoice

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