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.
- 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.
- 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.
- 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.
- Node.js
- AWS Account (for S3 bucket setup)
- Clone the repository:
git clone https://github.com/your-username/LabelSync.git
- Install dependencies:
cd LabelSync npm install - 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. - Start the server:
npm run dev
- Access the app at
http://localhost:3000to begin your data labeling tasks.