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
- Novena University, Ogume, Delta State 1
- Nuhu Bamalli Polytechnic, Zaria, Kaduna State 7
- Nwafor Orizu College of Education, Nsugbe, Anambra State 1
- Obafemi Awolowo University, Ile-Ife, Osun State 15
- Oduduwa University, Ipetumodu, Osun State 9
- Ogun State College of Health Technology, Ilese-Ijebu, Ogun State 1
- Ogun State Institute of Tech(formerly Gateway Ict Poly), Igbesa, Ogun State 4
- Olabisi Onabanjo University, Ago-Iwoye, Ogun State 37
- Ondo State University of Medical Sciences, Laje Road, Ondo, Ondo State 1
- Osun State College of Education, Ila-Orangun 1