AI-powered healthcare platform combining Machine Learning for multi-disease prediction (Diabetes, Heart, Liver, Kidney, Lungs) with Generative AI for intelligent medical assistance and lab report analysis.

The Medical Query Generator is a web application that leverages Google's GenerativeAI to generate detailed and accurate medical responses. Users input medical queries, and the application provides responses adhering to specific guidelines for clarity, accuracy, and informativeness.

CS4472 - Mobile Computing Project. Personal Health Companion App designed to help you achieve a balanced lifestyle.

📎 About MIDA Project

A multi agent healthcare assistant system implemented using Python and Langgraph. The agents include icd10 code extractor, SOAP document generator and medical image report generator. This project uses one of the latest LLMs, MedGemma model.

LLAMA First Aid — your virtual first aid assistant, powered by GenAI.

Enhancing Patient Care with OpenAI: A Blazor and Azure Speech AI Medical Assistant Web App

An interactive, state-of-the-art Retrieval-Augmented Generation Medical Assistant that leverages deep learning and FAISS-based retrieval to provide accurate, context-aware answers to medical queries in real time.

Multimodal Healthcare AI assistant powered by GPT-4o Vision, Whisper ASR, and Claude 3.5 (Anthropic). Multi-specialist AI analysis from text, images, and voice input. Built with React 18, FastAPI, and OpenAI + Anthropic APIs. Live on Hugging Face Spaces. ⚠️ Educational purposes only — not for medical diagnosis.

Full-stack healthcare AI voice assistant: voice triage, symptom analysis, specialist matching & appointment booking.

An end-to-end Medical Assistant powered by RAG + Agentic AI. It enables medical Q&A with citations, patient registration, appointment confirmations, medicine stock tracking, and case summarization. Frontend built with Streamlit, backend with FastAPI, SQLite/Supabase, and vectorDB FAISS.

🩺 AI-Driven Healthcare Webapp: Predict diseases from symptoms using machine learning. Fast, user-friendly, and explainable—built with Python and Streamlit to empower users with personalized health insights and recommendations.

The project focuses providing patients with medical advice, answer patient queries, and triage symptoms, enhancing patient engagement with care using a virtual assistant.

AI-powered medical assistant chatbot for symptom checking, disease prediction, severity analysis, and self-care guidance

CareConnect uses state-of-the-art large language models (LLMs) to provide rapid, reliable medical guidance. This project addresses increasing wait times and health misinformation, offering timely assistance and supporting informed decision-making to alleviate the burden on the healthcare system.

AI-powered healthcare assistant that helps users identify symptoms, check medicines, and find specialized doctors — accessible anytime, anywhere.

Información acerca del proyecto Capstone del Diplomado Internet de las Cosas de Samsung Innovation Campus

Pathological voice classification by vocal-tract-area (VTA) estimator.

Medical AI Assistant Demo using Gemini and Flutter