• Narendra Chaurasia
• Sachidanand Gound
• Abhishek Rathod

Abstract—The exponential growth of academic This adaptability makes these systems more effective and reliable information has made it increasingly challenging for for academic use, as they become better at understanding user students and educators to access specific, relevant content preferences and providing relevant answers. Their potential efficiently. The AI Powered Academic Query Answering applications span across educational institutions, e-learning System addresses this challenge by leveraging cutting-edge platfostudents, educators, and researchers in finding accurate informationrms, and research environments, offering valuable support for Artificial Intelligence (AI) to provide precise, context-aware quickly.This paper introduces the AI Powered Academic Query answers to academic queries. Employing advanced Natural Answering System, a tool designed to overcome the limitations of Language Processing (NLP) techniques, the system traditional search engines by offering precise, context-aware interprets queries phrased in natural language and utilizes answers. By leveraging AI and ML algorithms, it continuously Machine Learning (ML) models to analyze and retrieve learns from interactions and provides robust support in academic information from a curated database of textbooks, research settings, making it a valuable resource for anyone in the education papers, and syllabi. By integrating NLP and ML, the system and research domains delivers an intelligent, user-friendly platform for academic information retrieval. Moreover, the system improves over time through continuous learning from user interactions, ensuring enhanced accuracy and contextual understanding. Unlike traditional search engines, this system offers domain-specific, concise answers, streamlining the learning and teaching processes. This paper outlines the system’s architecture, methodology, and performance evaluation, emphasizing its potential to transform academic information retrieval.

Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML), Academic Query Answering, Information Retrieval, Educational Technology, Contextual Understanding

"AI Powered Academic Query Answering System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.a620-a624, March-2025, Available :http://www.jetir.org/papers/JETIR2503078.pdf

"AI Powered Academic Query Answering System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppa620-a624, March-2025, Available at : http://www.jetir.org/papers/JETIR2503078.pdf