Practicum Project #

PALTUS team. Report 2

Detailed Requirements Elaboration #

1. User Management & Progress Tracking #

• Users can mark subtopics as completed.
• Display user’s course progress (e.g., completed 5/10 lessons).

2. Course Management #

• Fetch all user’s courses (ID + name) for course selection.
• Fetch course content - lessons, subtopics, etc.
• Users can delete courses.
• Save LLM-generated courses to the database.

3. Frontend Application #

• MVP pages: Home, Course View (with lessons), Course Creation View, Login View.
• Persist progress data in browser storage (local/session).
• HTTP requests to backend endpoints.

4. Backend Services #

• Enable cross-origin requests for frontend-backend communication.
• Process user inputs via LLM API to generate courses.
• Optimize database queries for course/lesson retrieval.

5. Non-Functional Requirements #

• Responsive layouts
• In future, code formatting enforced via CI/CD.
• Docker Compose setup for single-command execution.

6. Dependencies & Risks #

Dependencies

• LLM API reliability.
• Asana backlog prioritization for task alignment.

Risks

• Inconsistent progress tracking if subtopic/lesson logic fails.
• CORS misconfiguration blocking frontend requests.

Prioritized backlog #

Asana board

Project specific progress #

Frontend #

Finished layout for neccessary pages for MVP, configured some libraries for needed functionalities.

Backend #

Created functions for getting the course with all the content inside, to get IDs and names of all courses, deleting a course, getting a certain lesson, saving generated course in database.

Other #

Created README.md for the project, fixed prompt for LLM-model, finished design of an app in Figma, discussed gamification ideas, set up task board in Asana.

Weekly commitments #

Individual contribution of each participant #

Sergey Knyazkin

• Created layout for all the pages of MVP
• Configured Pinia to maintain global state of an app
• Configured Vue router
• Configured Axios for HTTP requests

Ramazan Gizamov

• Added README.md
• Report for week 2
• Finished Figma design with working prototype

Aidar Sarvartdinov

• Created database structure
• Configured interactions with database)
• Database request optimization

Igor Dubrovsky

• Docker configuration
• Added LLM API integration to communicate with the user

Amir Fayzullin

• Fixed prompt for LLM model
• Added system prompt for validation of user’s inputs

Danil Demin

• Introduced gamification ideas for the app

Plan for Next Week #

Frontend #

• Set up requests
• Configure storage for a course to track learning
• Develop a logic for a few frontend features

Backend #

• Add ability to mark subtopic as finished
• Mark lesson as completed if all subtopics finished
• Get request for dashboard
• Calculate last unfinished lesson(for dashboard)
• Configure CORS for request
• Refactor books and links entity as just array of values

Confirmation of the code’s operability #

We confirm that the code in the main branch: Run via docker-compose.