Project Title: Honors Enrolment Pre-assessment System (HEPaS)

Description:

HEPaS is a distributed client-server application designed for the Open University of Science and Technology (OUST). It allows users, including OUST students and non-students, to self-assess their eligibility for Honors studies. The system consists of a client-side application, one or more server-side applications, and a database server storing OUST students' course learning records.

Features:

• Authentication: Only authenticated users are allowed to use the application.
• Data Entry: Users can enter their unit scores manually or access their student records for assessment.
• Server-Side Processing: The server calculates averages, evaluates eligibility based on criteria, and returns assessment results to the client.
• Three-Tier Architecture: The application follows a three-tier architecture with separate layers for client, server-1, and server-2 (database server).
• Data Validation: Client-side application performs necessary data validation to ensure data integrity.
• Extensive Testing: Comprehensive testing is conducted using various datasets to ensure functionality and reliability.

Implementation Details:

• Phase 1: Two-Tier Version Implementation

  • Remote Method Invocation (RMI) is used for communication between client and server-1.
  • Data validation is implemented on the client-side application.
  • Server-side application processes data, calculates averages, and evaluates eligibility.

• Phase 2: Three-Tier Version Implementation

  • Third-tier server (server-2) acts as the database server storing OUST students' course learning records.
  • Database setup includes populating the OSCLR database with sample data.
  • Client-side extension allows users to choose between manual data entry and accessing student records.
  • Server-side extension handles requests for accessing student records from the database server.

Technologies Used:

• Language: Java
• Libraries/Frameworks: RMI
• Database: MySQL

Installation:

1. Clone the repository from GitHub: [Repository URL]
2. Install java and required dependencies.
3. Set up the database server MySQL and populate the OSCLR database with sample data.
4. Run the client application and follow the on-screen instructions for assessment.

Contributors:

• Isuru sankhajith

License:

This project is licensed under the MIT License.

Additional Notes:..

• Please refer to the project documentation for detailed setup instructions and usage guidelines.
• Contributions, bug reports, and feature requests are welcome. Feel free to submit a pull request or open an issue on GitHub.

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