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Sprints
HUPPPPPP edited this page Aug 4, 2025
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Date: 28/07/2025
Sprint Duration: 15/07/2025 – 03/08/2025
Attendees: Navheen, Krittapas
Establish the foundation for the course-to-AI assistant application by setting up core frameworks, defining the data handling strategy, and initiating UI planning and development.
- Framework Setup Complete: Successfully set up and integrated React (frontend), FastAPI (backend), and Render (deployment).
- Clear Data Strategy: Agreed on converting course descriptions into standardized JSON format for use with LLMs.
- UI Planning & Development Started: Krittapas began implementing the frontend based on initial wireframes.
- Effective Task Division: Tasks were clearly split — Navheen focused on backend setup and data structure, while Krittapas focused on UI.
- Prototype Delivered: A working version of the prototype was completed and ready for client presentation.
- Positive Client Feedback: The client appreciated the clean UI design and overall direction of the project.
- Time Buffer for Unexpected Issues: A minor delay occurred during the setup phase. Adding buffer time in future sprints may help avoid impact on other tasks.
- Documentation of Setup Steps: Some configurations took extra time due to lack of documentation. This can be improved in the next sprint.
- Start Backend and Frontend Tasks in Parallel using mock data to reduce idle time.
- Document Environment Setup Clearly to ease onboarding and reduce confusion.
- Begin API Integration Earlier to allow more time for handling edge cases.
| Deliverable | Status |
|---|---|
| React, FastAPI, and Render configured | ✅ Completed |
| Course data structuring strategy defined | ✅ Completed |
| Initial frontend UI implemented | ✅ Completed |
| Functional prototype delivered | ✅ Completed |
| Client presentation and feedback session | ✅ Completed |