Offline Arabic name transliteration & fuzzy similarity. No LLM, no API calls, names never leave your infrastructure. Ships a 38 MB pruned XGBoost model + 22K EN↔AR dictionary. 98.4 lenient accuracy on MENA benchmark. Built for KYC, compliance, entity resolution, Arabic NLP preprocessing.
📄 Train neural networks locally from various document formats without cloud dependencies using the Train-LLE Ecosystem for Node.js.
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
AI-Enhanced Telemedicine for Rural Healthcare - Offline diagnostic models for ECG, X-ray & Dermatology
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