https://github.com/vasu10134/spas
The Student Performance Analysis System is a secure application designed to analyze and manage student data efficiently. It features role-based authentication, optimized data retrieval, and integrated analysis tools for comprehensive performance evaluation. Built using Java, SQL, and RESTful APIs, it ensures scalability with cloud integration.
https://github.com/vasu10134/spas
cloud-services java javascript restful-api sql
Last synced: 8 months ago
JSON representation
The Student Performance Analysis System is a secure application designed to analyze and manage student data efficiently. It features role-based authentication, optimized data retrieval, and integrated analysis tools for comprehensive performance evaluation. Built using Java, SQL, and RESTful APIs, it ensures scalability with cloud integration.
- Host: GitHub
- URL: https://github.com/vasu10134/spas
- Owner: Vasu10134
- Created: 2024-11-30T21:10:57.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-01-23T03:10:51.000Z (9 months ago)
- Last Synced: 2025-01-23T04:18:51.602Z (9 months ago)
- Topics: cloud-services, java, javascript, restful-api, sql
- Language: Java
- Homepage: https://github.com/Vasu10134/SPAS
- Size: 29.3 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Student Performance Analysis System
**Student Performance Analysis System** is a robust and secure application designed to analyze student performance efficiently. With role-based authentication, optimized data retrieval, and integration of data analysis tools, it provides a seamless experience for managing and analyzing student-related data.
## 🌟 Features
- **Role-Based Authentication:** Ensures secure and authorized access to data by implementing user roles.
- **Optimized Performance:** Improved data retrieval by 25% using advanced SQL query techniques and indexing.
- **Data Analysis Integration:** Enables comprehensive performance analysis by integrating powerful data analysis tools.
- **Cloud Integration:** Leverages cloud services for scalability and reliability.
- **RESTful APIs:** Provides a structured and efficient way to interact with the system backend.
## 🛠️ Technology Stack
Technologies Used:
- **Backend:** Java, RESTful APIs, SQL
- **Frontend:** JavaScript
- **Other Tools:** Cloud Services for deployment and scalability
## 🤝 Contributing
Contributions are welcome! If you would like to contribute, feel free to fork the repository, create a new branch, and submit a pull request with your ideas or improvements.
## 📄 License
This project is licensed under the MIT License.