Automated Housing Inventory Management System (a Case Study of Mshel Homes Limited)
Student: Isma'il Mafindi (Project, 2025)
Department of Computer Science
Modibbo Adama University, Yola, Adamawa State
Abstract
ABSTRACT
Manual housing inventory systems are often inefficient, error-prone, and inaccessible, creating a need for automation in the housing sector. This study designs and implements an automated housing website for Mshel Homes, aimed at improving property listing, search, and transaction processes. The system was developed through literature review, requirement analysis, wireframing, prototyping, and web-based implementation, followed by testing and evaluation. Results show enhanced efficiency, secure data management, and improved user experience, with the capacity to generate leads and support property evaluation. The study recommends user training and future adoption of virtual reality and artificial intelligence for system advancement.
Keywords
For the full publication, please contact the author directly at: ismailmafindi8@gmail.com
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Institutions
- Redeemers University, Ede, Osun State 4
- Rhema University, Aba, Abia State 11
- Rivers State University of Science and Technology, Port Harcourt, Rivers State 3
- RIVERS STATE UNIVERSITY, PORT HARCOURT, RIVERS STATE 13
- Rufus Giwa Polytechnic, Owo, Ondo State 2
- Saadatu Rimi College of Edu, Kumbotso, Kano State (affiliated To Abu, Zaria) 1
- Salem University, Lokoja, Kogi State 4
- School of Health Information Mgt (Uch, Ibadan), Oyo State 5
- School of Health Information Mgt, Oau Teaching Hospital, Ile-Ife, Osun State 30
- Skyline University Nigeria, Kano, Kano State 2