train-lle is a TypeScript-powered local learning engine for Node.js that lets you train, test, and export ML models fully offline with a built-in CLI.
Enterprise-grade RAG system featuring dual online/offline operation, multi-modal document processing, and advanced AI capabilities including knowledge graph construction and hybrid search for intelligent document analysis.
An intelligent, offline-first PDF understanding system built for the Adobe India Hackathon 2025. Extracts structured outlines and semantically ranks sections based on persona-driven tasks, fully Dockerized and scoring-ready.
A simple Flutter app with offline category classification ML model for efficient Note management
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