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: 18 days ago
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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 (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-12-24T14:27:35.000Z (29 days ago)
• Last Synced: 2024-12-24T15:36:34.699Z (29 days ago)
• Topics: cloud-services, java, javascript, restful-api, sql
• Language: Java
• Homepage: https://github.com/Vasu10134/SPAS
• Size: 4.88 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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.