CulRAG: Culturally Grounded Retrieval-Augmented Generation for Personalized Indian Dietary Guidance A research project building and evaluating a RAG-based AI system that leverages LLMs and culturally-adapted knowledge bases to provide personalized nutrition recommendations in Indian dietary context.
Can RAG-based systems provide culturally-appropriate and nutritionally-accurate dietary guidance when trained on Indian-specific food databases and Ayurvedic principles?
- ✅ First systematic evaluation of cultural grounding in RAG nutrition systems
- ✅ RAG system specifically optimized for Indian cuisine (800+ foods from IFCT 2017)
- ✅ Integration of Ayurvedic principles with modern nutrition science
- ✅ Evaluation of hallucination rates and cultural relevance in dietary recommendations