AI-powered medical assistant

Developed a healthcare AI application for lung disease classification using chest X-ray images, combined with an interactive medical chatbot and voice assistant.

The classification component analyzes chest X-ray images and predicts the corresponding lung disease category. Alongside the classification model, I was responsible for developing the AI Chatbot and RAG system, allowing users to ask questions about lung diseases, symptoms, and medical information.

I implemented Retrieval-Augmented Generation (RAG) to connect the chatbot with a medical knowledge base, enabling it to retrieve relevant information and generate more informative and context-aware responses.

The system also included a Voice Assistant to provide a more natural voice-based interaction with the user.

Key Features:

Chest X-ray Lung Disease Classification
AI Medical Chatbot
Retrieval-Augmented Generation (RAG)
Medical Knowledge Base
Context-aware responses
Voice Assistant
Integration of Computer Vision and NLP components

My Contribution:

Developed the AI chatbot
Implemented the RAG pipeline
Connected the chatbot to the knowledge base
Designed the conversational interaction flow
Contributed to integrating the chatbot and voice interaction into the overall application