TeddyAI Learning System
React-powered neurodiverse classroom with adaptive storytelling, RAG-backed lessons, and therapist analytics.
Led the development of TeddyAI Learning System, a comprehensive neuro-inclusive learning platform designed for children with adaptive AI capabilities. As Project Lead and Team Lead, architected and delivered a React-powered classroom experience featuring adaptive storytelling, RAG-backed personalized lessons, and comprehensive therapist analytics. The platform integrates advanced AI fine-tuning techniques with Edge Modals for real-time interactions, enabling personalized learning journeys that adapt to each child's unique learning profile. Built with Next.js for optimal performance, Python for AI/ML services, Firebase for real-time data management, and Docker for containerized deployment, ensuring scalable and reliable delivery of educational content with robust parental controls.
Tech Used
Process Followed
Initiated project with stakeholder alignment and requirements gathering for neuro-inclusive learning needs. Architected the system with Next.js frontend for optimal performance and user experience. Designed and implemented RAG (Retrieval-Augmented Generation) system for personalized lesson delivery. Developed Python-based AI services with fine-tuning capabilities for adaptive learning. Integrated Firebase for real-time data synchronization and user management. Implemented Edge Modals for seamless real-time interactions. Built comprehensive parental control features for monitoring and engagement. Established Docker-based deployment pipeline for consistent environments. Led cross-functional team through agile sprints with regular stakeholder reviews. Conducted extensive testing with neurodiverse learners and therapists to validate effectiveness.
Delivered in Time
14 months
