AI Dietician Chatbot Developer
This experience centered on building a domain-specific RAG chatbot for answering health and dietary questions with context augmentation. The role involved curating and incorporating 50,000+ medical documents to enhance the chatbot's knowledge base. The solution provided personalized meal plans and diet insights driven by LLM outputs. • Developed a Retrieval Augmented Generation chatbot for healthcare Q&A. • Processed and integrated over 50,000 medical documents for context retrieval. • Implemented logic for personalized diet and nutrient tracking. • Leveraged LLMs to generate tailored answers to user queries.