🎥 LiveStream Engine API

A high-performance REST API designed to facilitate real-time multimedia transmission and user interaction. This engine manages the complex logic behind video streaming while maintaining low-latency state tracking for social metrics.

🚀 Key Functionalities

• Real-Time Streaming: Optimized for live multimedia transmission with minimal latency.
• Engagement Tracking: Robust database integration to handle concurrent "Like" and "View" updates.
• Scalable Architecture: Designed with RESTful principles to allow for easy integration with web or mobile frontends.
• Data Integrity: Secure handling of stream metadata and user interaction history.

🛠 Technical Stack

• Language/Framework: [e.g., Node.js Express / Python FastAPI]
• Streaming Protocols: [e.g., HLS / RTMP / WebRTC]
• Database: [e.g., PostgreSQL / MongoDB / Redis] for real-time view counting.
• Tools: Postman for API testing and [e.g., Docker] for deployment.

🛣 API Endpoints (Samples)

Endpoint	Method	Description
/api/stream/start	POST	Initializes a new live broadcast.
/api/video/:id/view	PATCH	Atomically increments the view count.
/api/video/:id/like	POST	Toggles user likes with persistent state.
/api/stream/:id/status	GET	Retrieves real-time stream metadata.

📊 Database Schema Design

The system utilizes a relational/document-based approach to ensure that high-frequency updates (views) do not bottleneck the streaming performance.

Technical Insight: View counts are handled via [e.g., atomic increments / caching] to ensure accuracy during viral traffic spikes.

🏁 Getting Started

1. Clone: git clone https://github.com/khaled-kk/LiveStream-Engine-API.git
2. Environment: Create a .env file with your Database URL and API Port.
3. Run: npm start or python main.py

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Developed by Khaled Walid