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Dialogue-Based Student Portal Design using a Large Language Model (LLM)

Supervisor

Dr. Nafis Tanveer Islam
📧 [email protected]

Description

A school wants to implement a dialogue-based “Student Management Portal”, allowing students to chat with a system regarding their course results, graduation requirements, and areas for improvement using microservices.

The portal should:

  • Allow students to ask about their results.
  • Help them identify areas for improvement.
  • Show the number of remaining courses required for graduation.
  • Ensure the system does not get overwhelmed due to excessive queries, leading to high costs.

Requirements

Core Functionalities:

  1. Develop a secure student portal allowing students to log in.
  2. Maintain individual student records in any chosen format (Relational DB, Non-Relational DB, CSV, JSON, etc.).
  3. Ensure students cannot access another student’s performance data.
  4. Provide a User Interface (UI) for profile viewing and editing.
  5. Implement a Chat interface where students can:
    • Ask about their performance.
    • Check their scores in different subjects.
    • View remaining courses required for graduation.
    • (⚠️ Ensure cost estimation and monitoring of LLM usage).

Expected Output

Minimum Requirements:

✅ A working cloud application with:

  • A secure, scalable, and user-friendly student portal.
  • Integration of a dialogue system using LLM (e.g., OpenAI, Hugging Face).
  • Login & profile management with information exclusivity for students.
  • A Monitoring System to track usage and restrict excessive queries.

Advanced Deliverables (If Time Allows):

  1. Identify and analyze performance bottlenecks:

    • Does the system slow down with multiple concurrent users?
    • Explain where and why the delay occurs.

  2. Optimize and speed up the dialogue system.

  3. Implement a cost-control protocol to limit excessive traffic.

References

  1. Student Result Management System
  2. Falcon-LLM Education Platform

This application is based on an example project from streamlit