LEXYML_CORE
An adaptive learning interface engineered for cognitive accessibility. Powered by Random Forest classification to personalize educational trajectories.
SECTOR
EdTech / Accessibility
CORE ENGINE
REPOSITORIES
SYSTEM_ARCHITECTURE
01 — 06Adaptive Logic
Utilizes a Random Forest Classifier to analyze user performance patterns and dynamically adjust curriculum difficulty.
Voice Interface
Integrated Google Cloud Speech-to-Text allows for real-time pronunciation analysis and hands-free interaction.
Cognitive Access
Engineered for Dyslexia: OpenDyslexic fonts, high-contrast modes, and reduced UI noise to minimize cognitive load.
Fuzzy Matching
Implemented FuzzyWuzzy logic to handle spelling approximations, encouraging progress over perfection.
Secure Backend
Django REST Framework & PostgreSQL provide a robust, secure infrastructure for student data profiles.
Progress Analytics
Visualizing learning curves using Pandas to help parents and teachers track improvement.
INTERFACE_LOGS
