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HUPPPPPP edited this page Aug 4, 2025 · 21 revisions

Meeting 1 - 24/07/2025

Attendees

  • Team Members: Navheen, Krittapas

Meeting Summary

This meeting marked the official start of the project focused on comparing our BIT course with another university’s course from a different country using AI tools. The main focus was on planning the setup of the development frameworks and tools before any coding begins.

Key Discussion Points

1️⃣ Project Overview & Goals

  • Agreed on the project aim: use AI to translate and compare course information across universities.

2️⃣ Framework & Tool Setup

  • Decided to use React for the frontend, FastAPI for backend APIs, and Firebase for deployment and database management.
  • Current priority is to set up these frameworks and integrate them into a working base project.

3️⃣ Task Assignment

  • Navheen will handle the full setup of the project frameworks including React, FastAPI, and Firebase.
  • Krittapas will support by reviewing the setup and preparing for UI/styling once the base is ready.

Action Items

Task Assignee Due Date Status
Set up React, FastAPI, and Firebase frameworks Navheen 28/07/2025 In Progress
Research AI translation API options for integration All Team Members 28/07/2025 In Progress
Review framework setup and prepare UI plan Krittapas 28/07/2025 Pending
Document project setup and architecture plan All Team Members 28/07/2025 Pending

Next Steps & Meeting Schedule

  • Next Meeting Date: 28/07/2025
  • Next Meeting Agenda:
    • Review progress on framework setup.
    • Discuss AI API integration plans.
    • Plan UI/styling approach.

Meeting 2 – 28/07/2025

Attendees

  • Team Members: Navheen, Krittapas

Meeting Summary

This meeting focused on reviewing the progress made on project setup, defining clearer task scopes, and assigning new responsibilities related to data structuring and UI development. The project is progressing well with the foundational frameworks established.

Key Discussion Points

1️⃣ Framework Setup Review

  • Navheen confirmed that React, FastAPI, and Render were successfully set up and integrated.
  • Krittapas reviewed the setup and gave feedback on the frontend structure.

2️⃣ Data Handling Strategy

  • Discussed how course descriptions will be parsed and structured for AI use.
  • Agreed that course descriptions will be manually transferred into a JSON format to standardize them for LLM processing.

3️⃣ UI Development Planning

  • Initial wireframe discussions were held.
  • Krittapas will begin work on designing and building the frontend UI components.

Task Assignment Updates

  • Navheen will work on transforming course descriptions into JSON format and structuring them for LLM parsing.
  • Krittapas will begin implementing the UI for the website using React, based on the agreed design direction.

Action Items

Task Assignee Due Date Status
Transfer course descriptions into JSON format Navheen 31/07/2025 In Progress
Structure JSON for LLM to parse Navheen 31/07/2025 In Progress
Design and implement frontend UI components Krittapas 31/07/2025 In Progress

Next Steps & Meeting Schedule

  • Next Meeting Date: 31/07/2025
  • Next Meeting Agenda:
    • Review structured data formats
    • Demo early UI components
    • Finalize AI API selection and integration plan

Meeting 3 – 31/07/2025

Attendees

  • Team Members: Navheen, Krittapas

Meeting Summary

This meeting focused on reviewing progress made on structuring course data, presenting the initial UI components, and discussing integration with an AI model. The team is making steady progress, with core data and interface components beginning to take shape.

Key Discussion Points

1️⃣ Data Structuring Progress

  • Navheen presented the converted course descriptions in JSON format.
  • The JSON structure was reviewed and finalized for compatibility with LLM parsing.
  • Edge cases and inconsistencies in course descriptions were discussed, and formatting guidelines were agreed upon.

2️⃣ Frontend UI Demo

  • Krittapas showcased the first version of the UI components, including the homepage and course display sections.
  • The team provided feedback on layout, responsiveness, and component organization.
  • The current design direction was approved to move forward.

3️⃣ AI API Integration Planning

  • Suitable AI APIs (OpenAI, Cohere) were discussed for generating responses using the structured data.
  • Early testing and evaluation will begin before confirming the final choice.
  • Integration roadmap will be finalized in the next meeting.

Task Updates

Task Assignee Due Date Status
Finalize and clean course JSON format Navheen 31/07/2025 ✅ Done
Begin testing JSON with LLM prompts Navheen 04/08/2025 ⏳ In Progress
Improve and expand UI components (e.g., course cards, nav) Krittapas 04/08/2025 ⏳ In Progress
Evaluate AI APIs and test basic LLM integration Both 04/08/2025 ⏳ In Progress

Next Steps & Meeting Schedule

  • Next Meeting Date: 04/08/2025
  • Next Meeting Agenda:
    • Present prototype to the client for initial feedback
    • Review LLM integration test results
    • Confirm and finalize AI API selection
    • Discuss further UI/UX refinements based on client feedback

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