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LLM Application

🚑 MedicAssist – Tactical Field Medic Assistant

MedicAssist is an offline, CPU-first Progressive Web App (PWA) that transforms unstructured medical audio or text into structured FHIR R4 JSON. Designed for first responders, disaster relief teams, and combat medics, it enables fast and standardized patient documentation without internet connectivity.

Using Whisper.cpp for offline speech-to-text and Phi-3 Mini with llama.cpp for clinical information extraction, MedicAssist generates valid FHIR R4 Bundles containing patient details, injuries, treatments, observations, and triage information. All processing runs locally on the CPU, ensuring privacy, reliability, and uninterrupted operation in remote or emergency environments.

Key Features 🎤 Offline speech-to-text with Whisper.cpp 🤖 CPU-only AI extraction using Phi-3 Mini 📋 Converts unstructured input into FHIR R4 JSON 🌐 Progressive Web App with full offline support 💾 Local storage using IndexedDB 📤 Export FHIR JSON for later synchronization 🔒 Privacy-first with no cloud or internet dependency

MedicAssist demonstrates how offline AI can convert unstructured medical data into standardized healthcare records, making it ideal for emergency response and disaster management.

Smart Cab Finder is an AI-powered ride comparison platform that helps users compare fares, estimated arrival times, and ride options across multiple cab providers. The application includes an intelligent AI assistant for ride recommendations, supports Bring Your Own Key (BYOK) integrations, and is designed to support local AI inference through Ollama. To improve accessibility, the platform provides multilingual support in English, Hindi, and Telugu. Built using Python and Flask, the project follows secure development practices with automated testing, CI/CD pipelines, security scanning, and compliance-driven documentation.

AI-powered chatbot application with React frontend and Node.js backend for interactive conversations

Ruchulu Lens AI

Ruchulu Lens AI is a cross-platform AI-powered application that celebrates India's regional food diversity. The app offers:

Regional Food Explorer – Shows local dishes based on user location, revealing region-specific ingredients, cooking styles, and preparation. Lens Feature (Food Recognition) – Users can upload or capture an image of a dish, and the AI will it and provide ingredients, recipe steps, and cultural context. AI Culinary Assistant – Interactive assistant to answer cooking-related questions, suggest dietary plans, offer substitutions, and guide users through cooking.