Smart Campus Resource Management System

B.Gayathri¹, B. Jaswanth², M. Chaitanya³, N. Narasimha Durgaprasad⁴
Supervisor: Mr. N. YELLAJI RAO M.Tech (Ph.D), Assistant Professor, Dept. of CSE, VIET
¹Department of CSE (AIML), Visakha Institute of Engineering and Technology, Andhra Pradesh, India
2Department of CSE (AIML), Visakha Institute of Engineering and Technology, Andhra Pradesh, India
3Department of CSE (AIML), Visakha Institute of Engineering and Technology, Andhra Pradesh, India
4Department of CSE (AIML), Visakha Institute of Engineering and Technology, Andhra Pradesh, India

Abstract - The Smart Campus Resource Management System (SCRMS) is an AI-driven, web-based solution designed to streamline campus information access and resourcemanagement by overcoming limitations of traditional systems  such as fragmented data, delayed responses, and restrictedaccessibility. Built on a client-server architecture using Python  Flask and SQLite, it maintains real-time data on campusresources including hostel vacancies, transport availability, and seminar hall bookings. The system employs Natural Language Processing (NLP) techniques, specifically CountVectorizer and Cosine Similarity, to accurately interpret user queries and map them to predefined intents. It features a hybrid interface thatcombines conversational text input with menu-driven  navigation, ensuring ease of use for diverse users. By relyingstrictly on verified institutional data, SCRMS avoids inaccuracies associated with generative AI models while delivering precise and reliable information. The system enablesautomated inquiry handling, real-time database updates, and  efficient resourceallocation, significantlyreducing administrative workload. Operating as a scalable 24/7 digital  platform, SCRMS enhances user experience, minimizesresponse latency, and provides a robust, intelligent framework for modern smart campus environments.Key Words: Artificial Intelligence, Smart Campus, NaturalLanguage Processing, Resource Management, Hybrid Chatbot, Human-Computer Interaction, Real-Time Database, Cosine Similarity.