[25] AI-SMART DRIVEN COLLEGE ASSISTANCE CHATBOT USING NATURAL LANGUAGE PROCESSING
How to Cite the Article: K.V. S. Ganesh, G. Sandhya, Sai Gangadhar, G. Satya Rohitha & T. Yaswanth Kumar (2026). Ai-Smart Driven College Assistance Chatbot Using Natural Language Processing. International Journal of Multidisciplinary Research & Reviews, 5(5),310-324. https://doi.org/10.56815/ijmrr.v5i5.2026.310-324
Abstract
The AI-Smart Driven College Assistance Chatbot Using Natural Language Processing (NLP) is an intelligent virtual assistant developed to support students, faculty, and administrative staff within a college environment. It uses advanced NLP techniques to understand user queries and respond in a human-like manner. The system integrates Machine Learning algorithms including TF-IDF vectorization and Logistic Regression to enhance its accuracy and continuously improve performance based on user interactions. The chatbot supports both text-based and voice-based communication, improving accessibility and user experience. It is developed using Python and various NLP libraries and can be deployed on web platforms or integrated into existing college portals. The proposed three-layer hybrid intent detection system achieves approximately 94.16% accuracy across 85 intent classes with sub-300ms response times, reducing administrative workload and enhancing communication between students and the institution.













