Practicum Project #

PALTUS team. Report 6

Links #

• Deployment:
• Docs: README.md, api docs
• Design: Figma
• Demo: Google Drive
• Kaiten board: Screenshots of the board

Final deliverables #

Project overview #

PALTUS is an AI-powered self-learning platform designed to change the way of personalized education. The platform addresses key challenges in modern e-learning by providing:

• Adaptive Learning: AI-driven personalization that adjusts content and pace based on user choices and preferences.
• Flexible Course Creation: Intuitive tools for educators and users to build, modify, and delete custom courses.
• Gamification: Reward systems, achievements, and daily streaks to maintain motivation and track progress.
• Knowledge Review Tools: Repetition and quizzes to enhance long-term retention of learned material.

By combining AI-powered recommendations with user-aimed design, PALTUS creates a learning experience that adapts to individual needs while keeping users engaged through interactive and gamified elements.

Features #

• Authorization
• Registration
• Add course
• Edit course
• Delete course
• Mark subtopics as done/undone
• Progress bar for course completion
• Add notes for subtopics
• Interaction with AI-model for questions and misundrstandings
• Learnt material revise through quizzes
• User experience level via achievements
• Awards for completing challenges

Tech stack #

Frontend

• Vue.js: Reactive framework for building intuitive interfaces
• Pinia: To mantain a global state of a frontend app
• Axios: For HTTP requests

Backend

• Spring Boot: Robust backend framework for RESTful APIs
• PostgreSQL: Relational database for structured data storage

Setup instructions #

Run project via docker compose --profile front-dev up. You should get GigaChat API key to run the application. See .env.example for configuration.

Presentation draft #

Google Presentation

Weekly commitments #

Individual contribution of each participant #

• Sergey Knyazkin
  • Added chat interaction inside the lesson
  • Added quizzes
  • Configured nginx for build version of frontend
  • Fixed bugs
• Ramazan Gizamov
  • Design finished - Figma.
  • Report for week 5.
  • Google Presentation.
• Aidar Sarvartdinov
  • Added gamification features
  • Configured library for backend docs
• Igor Dubrovsky
  • Configured library for fixing bad LLM responses
  • Quiz functionality for backend
  • Fixed bugs
• Amir Fayzullin
  • Fix overall documentation
  • Balanced gamification features

Plan for Next Week #

• Code cleaning
• Fix bugs
• Finish presentation
• Add adaptive layouts

Confirmation of the code’s operability #

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