Artificial Intelligence and Machine Learning
April 14, 2026
English
AI Powered Student Assistance Chatbot for Department of Technical Education
A Hybrid NLP-Based Approach Integrating FAQ Matching and Large Language Models for DOTE Maharashtra
Abstract
This paper presents Saviour, an AI-powered multilingual student assistance chatbot designed for institutes under the Directorate of Technical Education (DOTE), Maharashtra. The system uses a hybrid NLP approach combining rule-based FAQ matching with a large language model to deliver fast and accurate responses. It supports multiple Indian languages and integrates features such as result checking, timetable access, and syllabus retrieval. Experimental results show high accuracy (~91%), low response latency (<2 seconds), and improved student satisfaction, demonstrating its effectiveness in enhancing student support services.
How to cite this paper
Nilima Mahendra Patil, Sanchita Santosh Todkar, Divya Dinesh Bhadankar. "AI Powered Student Assistance Chatbot for Department of Technical Education." PaperNova (2026). https://www.papernova.online/papers/ai-powered-student-assistance-chatbot-for-department-of-technical-education-kz6kc