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.
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.
Python CLI skill for querying OpenEvidence clinical evidence assistant — portable stdlib-only alternative to MCP, works with Claude Code and 40+ AI agents
📎 About MIDA Project
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 intelligent, clinical-grade healthcare chatbot powered by a custom fine-tuned Llama-3 model. Features real-time symptom analysis, multilingual support, an interactive human body map, and a sleek glassmorphism UI. 🧬
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.
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.
AraCheck is an AI-powered medical assistant that answers health questions in Arabic and English — grounded in medical literature, not guesswork. Ask via text, voice, or image. Get cited, reliable answers instantly.
Lab Projects
AI-powered healthcare assistant that helps users identify symptoms, check medicines, and find specialized doctors — accessible anytime, anywhere.
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-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.
Full-stack healthcare AI voice assistant: voice triage, symptom analysis, specialist matching & appointment booking.
Retrieves and generates citation-backed clinical answers from medical transcripts using LangChain, Gemini, and ChromaDB, enabling context-grounded medical question answering through semantic retrieval.
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