Kame - Adaptive Language Learning Platform

Screenshot showing the Kame learning platform interface with adaptive question generation and skill gap analysis.

Project Overview

Kame is a prototype adaptive language learning platform I designed and developed from scratch. The system intelligently adapts to learner performance by analyzing response patterns to identify skill gaps and provide personalized learning paths.

Solo Development Journey

As the sole developer and architect of this project, I:

• Self-taught PHP/MySQL while simultaneously building the application
• Designed the entire system architecture and database schema
• Implemented all frontend and backend components
• Created a complete working prototype (~113,000 lines of code)
• Developed the project in an era with limited online support resources (pre-Stack Overflow)

Key Technical Features

• Multimedia Content Management: Built a system to ingest and serve text, audio, and visual learning materials
• Dynamic Question Generation: Developed an engine to create multiple-choice questions with intelligent distractor analysis
• Skill Gap Identification: Created algorithms to map incorrect answers to specific language proficiency deficiencies
• Performance Tracking: Designed a comprehensive database schema to track learner progress over time
• Adaptive Logic: Implemented foundational algorithms to adjust content difficulty based on user performance
• Role-Based Access Control: Built a multi-tiered permission system for students, teachers, and administrators

Technical Challenges Overcome

• Complex Database Design: Created relational structures to support adaptive learning without modern ORMs
• Server-Side Security: Implemented secure server-side rendering for assessments to prevent answer extraction
• Self-Learning Ecosystem: Navigated the complexity of building a production-quality system while learning the technologies

Future Vision

The platform was designed as a foundation for:

• Automated ILR passage rating
• AI-driven question generation
• Fully personalized learning paths using LLMs

I’m planning a modern rebuild using FastAPI, MongoDB, and React to implement these advanced features with current technologies.

Skills Demonstrated

This project showcases my abilities in:

• Independent full-stack development
• Complex database design
• Algorithm development for adaptive learning
• System architecture design
• Self-directed learning and problem-solving
• Long-term technical vision and planning