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LabelSync - Decentralized Data Labeling Platform

LabelSync is a decentralized platform that streamlines the process of labeling datasets for machine learning models, youtubers and AI applications. By enabling collaboration across multiple users, LabelSync allows for efficient, large-scale data annotation with secure storage.

Key Features

  • Collaborative Data Labeling: Facilitates teamwork in labeling large datasets, significantly speeding up the data preparation process for machine learning models.
  • AWS S3 Integration: Secure and scalable storage for datasets, with presigned URLs used for file access and uploads.
  • User-friendly Interface: Built with Next.js, LabelSync provides an intuitive and responsive frontend for a seamless user experience.
  • Flexible Use Cases: Supports labeling tasks for various domains such as image classification, and more.

Use Cases

  • Machine Learning Model Training: High-quality labeled data for training supervised learning models in various domains.
  • AI-Powered Applications: Provides accurately labeled datasets for industries like healthcare, finance, and autonomous vehicles.
  • Crowdsourcing Data Annotation: Enables crowdsourced data labeling tasks for large-scale projects.

Technology Stack

  • Frontend: Built with Next.js for server-side rendering, routing, and fast user interactions.
  • Backend: Node.js, Express.js for API and server-side logic.
  • Database: Prisma and PostgreSQL for managing user data and labeling tasks.
  • File Storage: AWS S3 for secure and scalable storage of labeled data.
  • Authentication: JSON Web Tokens (JWT) for secure user authentication and authorization.

Getting Started

Prerequisites

  • Node.js
  • AWS Account (for S3 bucket setup)

Installation

  1. Clone the repository: 
    git clone https://github.com/your-username/LabelSync.git
  2. Install dependencies: 
    cd LabelSync
npm install
  3. Set up your environment variables: 
    DATABASE_URL: Your PostgreSQL connection string.
AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY: AWS S3 credentials.
JWT_SECRET: Secret key for JWT authentication.
  4. Start the server: 
    npm run dev
  • Access the app at http://localhost:3000 to begin your data labeling tasks.