IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

AN INTELLIGENT SYSTEM FOR STUDY SPACE ALLOCATION

Peesala Ilanna A.Pavani M.Nikhil D.Sravan V.ShashiVardhan

Department of Data Science / ACE Engineering College / JNTUH  Hyderabad India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

A Smart Study Space Allocation System is suggested to help students find available study spaces in libraries and campuses. Traditional methods of checking seats manually take a lot of time and often cause confusion and overcrowding. The proposed system uses a web-based platform to track and manage seat availability in real time. It gathers data about open and occupied seats through manual updates or simple sensors and shows this information to users via an interactive interface. Students can easily check available spaces and reserve seats based on their needs. The system also updates availability constantly, ensuring accurate information at all times. This approach improves the use of space, reduces the time spent searching for seats, and enhances the overall study experience. It offers a simple, effective, and scalable way to manage study spaces in educational institutions.

Keywords—Study Space Allocation, Real-Time Monitoring, Web Application, Seat Management, Smart Campus, Space Optimization

How to Cite this Paper

Ilanna, P., A.Pavani, , M.Nikhil, , D.Sravan, & V.ShashiVardhan, (2026). An Intelligent System For Study Space Allocation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.181

Ilanna, Peesala, et al.. "An Intelligent System For Study Space Allocation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.181.

Ilanna, Peesala, A.Pavani, M.Nikhil, D.Sravan, and V.ShashiVardhan. "An Intelligent System For Study Space Allocation." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.181.

Search & Index

References


  1. Goodfellow, I., Bengio, Y., & Courville, A. Deep Learning, MIT Press, 2016

  2. Hastie, T., Tibshirani, R., & Friedman, J. The Elements of Statistical Learning, 2009.

  3. Research papers on Smart Resource Allocation Systems.

  4. Studies on Web-based Management Systems

  5. Mell and T. Grance, “The NIST Definition of Cloud Computing,” National Institute of Standards and Technology, 2011.

  6. Rajasekar, J. Wan, and R. Moore, “MySRB & SRB: The Storage Resource Broker,” Proceedings of the 11th International Symposium on High Performance Distributed Computing, 2002.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 09 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top