Summary: This project focuses on the design, implementation, and assessment of an AI-powered conversational assistant that enables interactive question answering, exploration, and knowledge synthesis across the Noolaham ecosystem. Noolaham GPT leverages the authoritative Noolaham corpus, NLP-enriched structures, domain ontologies, and the underlying knowledge graph to deliver accurate, contextual, and explainable responses. The system is designed to support complex information needs, including thematic exploration, cross-document synthesis, and temporally aware reasoning over historical and cultural materials. Responses are grounded in source documents, providing transparent citations and traceability to original texts, thereby ensuring reliability and scholarly trust. The project also includes systematic evaluation of accuracy, relevance, temporal consistency, and user experience to ensure the assistant meets research, educational, and public access requirements.
| Partner Institution | Noolaham Foundation |
| Supervisors | Dr. Saatviga Sudhahar |
| Researchers | Sathiyalokeswaran Lingeswaran |