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LiveCast β Live Streaming System
Project Overview
- Project Title: LiveCast β Live Streaming System
- Domain: Media and Streaming
- Technology Stack: Java 17, Spring Data JPA, MySQL, HTML, CSS, React
- Duration: 3 Weeks
Project Description
LiveCast is a real-time live streaming system that enables users to broadcast and watch live video content seamlessly. The platform supports interactive features such as live chat, viewer count tracking, and real-time reactions, enhancing the engagement experience. Broadcasters can schedule and manage live sessions, while viewers can join, comment, and interact in real-time. Designed for scalability, LiveCast ensures smooth streaming even under high traffic by using adaptive bitrate streaming and CDN support.
Key Objective
- Enable High-Quality Live Video Streaming (Stream with low latency and adaptive bitrate for various network conditions)
- Facilitate Real-Time Viewer Interaction (Support live chats, likes, and reactions during broadcasts.)
- Support Broadcaster & Viewer Roles (Allow creators to manage streams and viewers to easily discover and join.)
- Ensure Scalable & Reliable Performance (Handle thousands of concurrent viewers with CDN and load balancing.)
- Secure Access & Stream Protection(Implement authentication and stream encryption for private/public streams.)
- Provide Analytics for Stream Performance
- Integrate Notification & Scheduling
Core Feature
- User Registration & Authentication(Sign-up, login, and profile management for broadcasters and viewers.)
- Live Stream Setup & Management(Create, start, and manage live streams with title, description, and privacy settings)
- Live Video Streaming(HD live streaming with pause/play and adaptive bitrate.)
- Real-Time Chat & Reactions(Live comment section with emojis, reactions, and moderation tools)
- Viewer Count & Engagement Tracking(Real-time viewer counter and engagement stats displayed to broadcasters)
- Stream Scheduling & Reminders(Schedule upcoming streams and send notifications to subscribers.)
- Content Moderation Tools(Admin dashboard for managing reported content and banning users)
- Analytics Dashboard(Detailed insights on stream duration, peak viewers, and engagement rates)
Tools & Technologies Used
| Category | Tools / Technologies |
| Language | Java 17 |
| Framework | SpringBoot |
| ORM | Spring Data JPA |
| Video Streaming Protocols | WebRTC (for low latency) / HLS (for wide compatibility) |
| Video Processing | FFmpeg (for encoding and stream handling) |
| Realtime chats | Websocket |
| Notifications | Java Mail, Twilio (SMS)/ Firebase Push |
| Analytics | Chart.js / JasperReports |
| Storage/CDN | :- AWS S3 (video assets), CloudFront / Akamai CDN |
| Database | MySQL [main database] |
| Authentication & Security | Spring Security + JWT + OAuth2 |
| API Documentation | Swagger / SpringDoc OpenAPI |
| Logging | Log4j |
| FrontEnd | React.js + Recharts / Chart.js |
| Building Tools & Dependencies | Maven, Git, Jenkins |
| Testing | Mockito, Postman (API Test) |
| Cloud and Deployment | AWS EC2, Docker, RDS (MySQL), S3 |
Prerequisites
π» System Requirements
- Operating System: Windows / Linux / macOS
- Minimum 8 GB RAM (Recommended: 16 GB)
- Java JDK 17 installed and configured
- Node.js and npm/yarn for React.js frontend
- MySQL and MongoDB servers installed and running
- Docker (for service containerization and deployment)
π¦ Software Dependencies
- Spring Boot (for backend microservices)
- Spring Security with JWT (authentication and access control)
- Spring Data JPA (ORM for MySQL)
- MongoDB (for storing real-time and stream metadata)
- WebRTC and HLS (video streaming protocols)
- FFmpeg (for video encoding and streaming support)
- WebSocket (for real-time chat and viewer updates)
- Java Mail, Twilio (for notifications)
- Chart.js / Recharts / JasperReports (for analytics and reporting)
- AWS S3 + CloudFront or Akamai (for video storage and CDN streaming)
π§° Tools & Services
- IDE: IntelliJ IDEA / Eclipse (Java), VS Code (React.js)
- Build Tool: Maven
- Version Control: Git with GitHub / GitLab
- CI/CD: Jenkins
- Cloud Infrastructure: AWS EC2, RDS (MySQL), S3, CloudFront
- Testing Tools: Mockito (unit testing), Postman (API testing)
π Technical Knowledge
- Understanding of real-time protocols (WebRTC, HLS)
- Experience with video encoding tools like FFmpeg
- Building and securing live streaming platforms using Spring Security + JWT
- Managing time-series or chat data with MongoDB
- Handling media storage and global content delivery using AWS S3 and CDN
- Implementing real-time communication with WebSocket
- Creating analytics dashboards using Recharts / Chart.js
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