History Tab
Generates Quiz(AI)
Log a score
Suggestion(AI)

Inspiration

Students often struggle to decide what to study next. We wanted to build an AI tutor that recommends topics based on quiz performance instead of giving every student the same learning path.

What it does

Tutor analyzes quiz scores, recommends topics using machine learning, generates simple AI explanations, creates quizzes, tracks score history, and highlights weak areas for improvement.

How we built it

Spring Boot for the backend APIs
Python + FastAPI for the ML service
scikit-learn (Random Forest) for recommendations
Groq (Llama 3.3) for AI explanations
Gemini via Spring AI for quiz generation
MySQL database
HTML, CSS, and JavaScript frontend

Challenges we ran into

We fixed missing Groq API configuration, duplicate quiz submissions caused by multiple button clicks, scikit-learn model version mismatches, and safely shared one database between Spring Boot and the ML service.

Accomplishments that we're proud of

We built a complete AI learning assistant that combines machine learning, LLMs, and quiz generation into one application with personalized recommendations.

What we learned

We learned the importance of proper logging, handling asynchronous requests correctly, maintaining ML model compatibility, and integrating AI services with traditional backend applications.