VideoTube Backend API

This project is a backend API for a Youtube-like video sharing platform, built with Node.js, Express, and MongoDB. It supports user authentication, video upload and streaming, likes, comments, subscriptions, watch history, and more.

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Features

• User Authentication: Register, login, logout, JWT-based auth.
• Video Upload & Streaming: Upload videos and thumbnails, stream videos.
• Cloudinary Integration: Store videos and images on Cloudinary.
• Likes & Comments: Like videos, comment on videos, reply to comments.
• Subscriptions: Subscribe/unsubscribe to channels.
• Watch History: Track and retrieve user watch history.
• Fuzzy Search: Search videos by title/description with typo tolerance (Atlas Search or Fuse.js).
• Pagination & Sorting: Paginated video lists, sort by views, date, etc.
• Profile Management: Update avatar, cover image, and account details.

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Tech Stack

• Node.js & Express
• MongoDB with Mongoose
• Cloudinary for media storage
• JWT for authentication
• Multer for file uploads
• Fuse.js or MongoDB Atlas Search for fuzzy search

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Getting Started

1. Clone the repository

https://github.com/gaurav4288/VideoTube_Backend.git
cd youtube-like-backend

2. Install dependencies

npm install

3. Set up environment variables

Create a .env file in the root directory and add:

PORT=5000
MONGODB_URI=your_mongodb_connection_string
JWT_SECRET=your_jwt_secret
CLOUDINARY_CLOUD_NAME=your_cloud_name
CLOUDINARY_API_KEY=your_api_key
CLOUDINARY_API_SECRET=your_api_secret

4. Start the server

npm run dev

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API Endpoints

Auth

• POST /api/v1/users/register — Register a new user
• POST /api/v1/users/login — Login
• POST /api/v1/users/logout — Logout

Videos

• POST /api/v1/videos — Upload a video
• GET /api/v1/videos — Get all videos (with search, pagination)
• GET /api/v1/videos/:videoId — Get video by ID
• DELETE /api/v1/videos/:videoId — Delete a video

Likes, Comments, Subscriptions, History

• POST /api/v1/videos/:videoId/like
• POST /api/v1/videos/:videoId/comment
• POST /api/v1/users/subscribe/:channelId
• GET /api/v1/users/history

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Search

• Fuzzy search is supported using MongoDB Atlas Search (recommended) or Fuse.js (in-memory, for small datasets).

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Credits

This project is inspired by and based on the work of Hitesh Choudhary.
Special thanks for the open-source chai-backend repository and educational content.

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Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

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License

MIT

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Author

• Gaurav Kumar Singh