📎 About MIDA Project

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

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

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

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.

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.

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.

🩺 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.

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.

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

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

Professional medical AI assistant powered by GPT-NeoX-20B with 4-bit quantization optimization, Flask web interface, and Docker deployment support

This is an OpenAI Voice Agent system specifically designed for healthcare applications. The project implements a voice-based interactive system that processes spoken health-related questions and provides responses through both text and synthesized speech using OpenAI's voice technology.

Medical Assistance is a GUI application, that provides the complete description of medicine just by name. It is made by using python, tkinter, sqlite3.

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

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

BlackwellGPT uses a cloud or on-device large language model (Llama 2) to increase the accessibility of basic medical information even in areas with limited internet connectivity.

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.