Sydney – Local multimodal voice AI for medical guidance. Offline, CPU‑friendly, powered by Gemma 3 1B, Whisper & Glow‑TTS. RAG + memory = smart, fast insights. accurate, context-aware responses.

🩺 AI Health Assistant using Streamlit and Hugging Face Transformers

🏥 AI-powered health assistant using fine-tuned LLaMA 3.2 model with Spring Boot API and beautiful web interface. Provides intelligent medical guidance with proper disclaimers.

A mini-project that calculates BMI base on height and weight, integrated with GenAI so the user can also ask questions based on their results. This is a project I worked on while at a residency by Great Learning

Flask Health Chatbot is a simple web-based chatbot powered by Google's Gemini AI, designed to provide responses to health-related queries. It recognizes health topics like diseases, symptoms, treatments, and fitness while offering an interactive Flask-based web app with API support.

A Flask-based web application with AI-powered features, including a chatbot, mood tracker, health tips, and a nearby hospital finder. Uses Flask-Mail for email notifications, Gemini API for AI responses, SQLite3 for data storage, and Leaflet.js for interactive maps.

🏥 AI Healthcare Assistant – An interactive AI-powered medical chatbot built with Streamlit, offering conversational healthcare info, voice input, document support, offline knowledge, and emergency keyword detection.

AI-powered wellness companion with specialized agents for mental health, nutrition, and fitness. Features persistent conversation memory, culturally-aware guidance for Pakistani users, and hybrid SQL+JSON database architecture. Built with LangGraph, Streamlit, and OpenAI.