Think Study Learn (TSL)
AI Educational Super-App for 50,000+ Active Students
Students needed instant answers and contextual explanations for complex math, science, and history questions from photo uploads without experiencing token timeout errors or hallucinated responses.
Architected a Retrieval-Augmented Generation (RAG) pipeline connecting AWS Bedrock Claude models with Google ML Kit OCR scanning on the client device. Reduced LLM token costs by 40% through localized document pre-processing.
Edge OCR & AWS Bedrock RAG Engine
Client-side text recognition coupled with cloud vector indexing and multi-tier prompt caching.
Sub-Second OCR & Math Parsing
Integrated on-device ML Kit text recognition with LaTeX formatting for crystal-clear mathematical equation rendering.
AWS Bedrock AI Tutor with Streaming Responses
Implemented Server-Sent Events (SSE) in Flutter to render typing tutor responses with zero perceived latency.
Automated Google Play / App Store Deployments
Configured GitHub Actions CI/CD pipelines producing signed AAB and IPA bundles automatically on version tag pushes.