Weather Data Visualizer

 

BSc IT Project Guide: Weather Data Visualizer

1. Project Title

Weather Data Visualizer – Real-time and Historical Weather Insights

2. Objective

To build a system that fetches and visualizes real-time and historical weather data for selected locations using charts and dashboards.

3. Scope of the Project

- Real-time weather information (temperature, humidity, pressure, etc.)

- Historical data visualization (e.g., last 7 days/month)

- Integration with weather APIs (e.g., OpenWeatherMap)

- Graphs, charts, and heatmaps

- Location search and filtering

4. Technology Stack

Frontend: HTML, CSS, JavaScript, React.js / Vue.js

Backend: Python (Flask/Django) / Node.js

APIs: OpenWeatherMap, WeatherAPI, Meteostat

Visualization: Chart.js, D3.js, Plotly

Database: MongoDB / SQLite / PostgreSQL

Hosting: Render, Vercel, or Heroku

5. System Modules

Location Module: Search and select city/location

Weather API Module: Fetch real-time/historical weather data

Visualization Module: Render temperature, humidity, etc. as graphs

User Preferences Module: Set default location or units (C/F)

Alerts Module (optional): Severe weather notifications

6. Sample API Response (OpenWeatherMap)

{

  "main": {

    "temp": 300.15,

    "humidity": 65,

    "pressure": 1013

  },

  "weather": [{"description": "clear sky"}],

  "dt": 1685352342

}

7. Functional Requirements

- Fetch and display current weather

- View historical trends for temperature, humidity, etc.

- Interactive graphs and charts

- Search by city/location

- Responsive UI for web and mobile

8. Non-Functional Requirements

- Accurate and timely data refresh

- Low latency API calls

- High availability

- Secure API integration and key protection

9. Development Roadmap

Phase 1: API research and dashboard planning

Phase 2: Frontend and backend integration

Phase 3: Chart and graph implementation

Phase 4: Testing, optimization, and responsiveness

Phase 5: Deployment and documentation

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

- Display UV index, wind speed, and weather maps

- Save weather snapshots

- Forecast weather for next 7 days

- Use local storage for caching

- Support multiple units and languages