It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.

HBAM: Hierarchical Bi-directional Word Attention Model

AI Medical Assistant to help doctors in summarising medical reports, patient history retrieval, and medical Q&A

Medical domain-focused GPT-2 fine-tuning, optimization, and lightweighting research repository (compared to GPT-4).

The project uses natural language processing and information retrieval to create an interactive system for user queries on a collection of PDFs. It involves loading, segmenting, and embedding PDFs with a Hugging Face model, utilizing Pinecone for efficient similarity searches

A Vietnamese dataset of over 12 thousands questions about common disease symptoms. Perfect for researchers and developers building Vietnamese healthcare chatbots or disease prediction models.

Medical Chatbot for Breast Cancer Care

The Bencao RAG Medical Intelligent Assistant is a powerful AI-based medical knowledge question-answering system, designed to enhance user experience in knowledge-intensive tasks by integrating context awareness, internet access, knowledge graphs, and retrieval-augmented generation.

Advanced multi-agent Medical AI Assistant powered by LangGraph that delivers empathetic, doctor-like responses using a hybrid pipeline of LLM reasoning, RAG from medical PDFs, and intelligent fallback tools. Features Long-term memory with SQLite, dynamic tool routing, and state reasoning for reliable, context-aware consultation.

AI-powered Medical Chatbot 🤖 that provides health advice, disease-symptom analysis, and multilingual support using NLP and machine learning. It helps users receive personalized recommendations and health tips in multiple languages.

This is a toy Web application written in Flask, featuring a Medical Assistant Chatbot powered by Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).

I created an AI-based medical report scanner to help automate and speed up diagnosis analysis from test reports for medical experts.

AI Medical Chatbot is an end-to-end, open-source healthcare assistant leveraging multimodal AI for vision, text, and voice. Built using 100% free tools.

🏥 SymptomAI - AI-Powered Health Assistant An intelligent health companion that uses advanced AI to analyze symptoms, provide personalized health insights, and connect users with appropriate healthcare guidance. Built with Next.js, Flask, and modern web technologies.

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-powered Medical Chatbot providing health-related assistance and symptom checking using NLP techniques.

An AI-driven chatbot offering accurate medical information, preliminary assessments, and healthcare support. Users can input symptoms, get initial guidance, and access reliable data on conditions and treatments, with features like appointment scheduling assistance and a chat history available for up to a week.

An AI chatbot implementing RAG technique with Meta-Llama2-7b Large Language Model, along with langchain and pinecone vector databases.

Production-ready AI medical chatbot for healthcare. IBM WatsonX, OpenAI, RAG, Llama 3, Mixtral. Medical interviewer, fine-tuning, Gradio. Python 3.9+.