BSc IT Project Guide: Real-time Monitoring Dashboard
1. Project Title
Real-time Monitoring Dashboard for Live Data (e.g., Stock Tickers or Social Media Trends)
2. Objective
To develop a dynamic dashboard that displays real-time updates from live data sources such as stock tickers, cryptocurrency markets, or social media APIs.
3. Scope of the Project
- Integration with real-time APIs (e.g., Twitter API, financial APIs)
- Live data fetching and chart updates
- Visualization using line, bar, or pie charts
- User authentication and personalized dashboards
- Notification or alert system based on thresholds
4. Technology Stack
Frontend: HTML, CSS, JavaScript, React.js or Vue.js
Backend: Node.js / Python (Flask/Django)
Real-time Communication: WebSocket / Socket.IO / Firebase
Visualization Libraries: Chart.js, D3.js, Plotly
APIs: Alpha Vantage, Twitter API, Binance API, etc.
Database: MongoDB / Firebase / PostgreSQL
5. System Modules
Data Fetching Module: Connect and pull data from APIs
Dashboard UI: Display widgets, charts, and data cards
User Module: Login, register, and customize dashboard
Alert Module: Notify user on data anomalies or thresholds
6. Sample Data Structure (JSON)
{
"symbol": "AAPL",
"price": 195.33,
"change": "+0.89",
"volume": 1450000,
"timestamp": "2025-05-29T10:30:00Z"
}
7. Functional Requirements
- User authentication system
- Fetch and display live data
- Auto-refresh of charts and statistics
- Interactive visual components
- Real-time alerts for value thresholds
8. Non-Functional Requirements
- Fast response time for live data rendering
- Responsive design for multiple devices
- High availability and scalability
- Secure API communication
9. Development Roadmap
Phase 1: API research and dashboard design
Phase 2: Backend and frontend development
Phase 3: Real-time integration and testing
Phase 4: UI polishing and alert system
Phase 5: Final testing and deployment
10. Suggested Project Report Structure
1. Title Page
2. Acknowledgement
3. Certificate
4. Abstract
5. Table of Contents
6. Introduction
7. System Analysis
8. System Design
9. Implementation
10. Testing
11. Limitations & Future Enhancements
12. Conclusion
13. References
14. Appendix
11. Optional Enhancements
- Multi-source API integration (stocks + social + crypto)
- Historical data comparison and forecasting
- Voice or chatbot interface
- Push notifications on mobile
- AI anomaly detection for trends