MALIKA: AI Adaptive Learning Platform
An AI-powered adaptive learning platform that personalizes mathematics education through intelligent tutoring and assessment.

Overview
Built a full-stack educational platform integrating Generative AI to deliver personalized learning experiences, adaptive quizzes, and AI-assisted tutoring within a culturally contextualized mathematics curriculum.
Problem
Traditional digital learning platforms provide identical learning experiences for every student, making it difficult to accommodate different learning styles and provide immediate personalized assistance.
Solution
Developed a Laravel-based web application that integrates Gemini AI to generate personalized tutoring sessions, adaptive quizzes, and automated evaluations while incorporating Malang cultural elements into mathematics learning.
Architecture
Engineering Decisions
- Integrated Generative AI as an educational assistant instead of replacing the teacher's role.
- Designed modular AI services to separate business logic from AI interactions.
- Implemented AI-generated quizzes with automatic evaluation to provide immediate learning feedback.
- Built the application as a full-stack system to ensure seamless interaction between educational content, AI services, and user management.
Challenges
- Designing AI interactions that remain educational rather than simply providing answers.
- Balancing personalization with curriculum consistency.
- Integrating AI features into a traditional web application architecture.
Lessons Learned
- AI creates the greatest educational value when supporting, rather than replacing, the learning process.
- Good educational systems require thoughtful UX design as much as strong AI capabilities.
- Personalization significantly improves student engagement when implemented carefully.
Future Improvements
- Learning analytics dashboard.
- Multi-subject support.
- Student progress prediction.
- Teacher AI analytics.
- Voice-based AI tutoring.
Technology
Gallery



Results
Users
25 students