Smart College Knowledge Assistant
This paper presents the Smart College Knowledge Assistant (SCKA), an AI-powered chatbot designed to simplify campus information retrieval. By integrating Natural Language Processing, Retrieval-Augmented Generation, and centralized knowledge storage, SCKA provides instant, personalized answers to student and faculty queries. Tested with over 300 queries, the system achieved 93% accuracy and reduced repetitive administrative workload by 70%. A user survey confirmed 88% satisfaction, highlighting its potential to enhance student engagement and streamline institutional communication. With modular architecture, SCKA is scalable for integration into ERP systems, multilingual support, and voice-based assistants. This research demonstrates how AI can transform higher education by bridging communication gaps and fostering a more supportive digital campus environment.
Authors
- Onkar Bhagwat
- Parth Sawant
- Prajwalita Dongre
- Khushi Savsani
- Shamika Salvi
Institutions
- MIT Art, Design and Technology University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-16
- DOI
- https://doi.org/10.5281/zenodo.19055112
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00