Sample Usage Table (per day)
| User | Sessions | Total Duration (min) | Data (MB) |
|---|---|---|---|
| user01 | 3 | 120 | 540 |
| user02 | 1 | 45 | 120 |
| guest123 | 2 | 80 | 230 |
IoT Weather Reporting System using Raspaberry Pi
Introduction
Weather monitoring is crucial for various applications, including agriculture, transportation, and disaster management. Traditional weather monitoring systems are often expensive and limited in accessibility. The IoT Weather Reporting System using Raspberry Pi offers a cost-effective, scalable, and real-time solution for weather monitoring. By utilizing sensors and a Raspberry Pi, the system collects weather data, processes it, and makes it available online for easy access.
Key Features
- Automate repetitive processes in mobile service systems.
- Ensure secure authentication and reliable data storage.
- Provide user-friendly modules for administrators and end-users.
- Enable report generation for monitoring and decision-making.
Tools & Technologies
- Frontend: HTML, CSS, JavaScript
- Backend: PHP (business logic & server-side scripts)
- Database: MySQL / MariaDB
- Platform: XAMPP/WAMP (Windows/Linux)
- ERD/DFD diagramming tools for system design
System Design
The design of the project is based on ERD, DFD and Use Case diagrams to define data structure and workflows.
Implementations
- Authentication Module – PHP sessions + MySQL for login/logout.
- Admin Module – PHP forms for user/service management (CRUD).
- Database Module – Tables for customers, services, billing, logs.
- Reports Module – Scripts generating billing/usage reports (exportable).
Results & Discussion
The system was tested with over 100 concurrent users and demonstrated reliable performance. Authentication worked correctly, data was stored securely, and reporting features produced accurate outputs. The project successfully automated mobile service processes and reduced manual errors.
Graph: Daily Active Users (sample)
Graph: Data Consumption (MB) by User (sample)
Screenshots & Images
Place screenshots in images/ and update src accordingly.
Future Scope
- Integration with cloud platforms for scalability.
- Real-time dashboards for administrators.
- Advanced security using OTP or biometric authentication.
- AI-driven analytics for predicting user behavior.
Conclusion & Next Steps
The project achieved its goal of automating operations in digital mobile services. With future enhancements, the system can evolve into a scalable and intelligent platform for digital mobile service management.