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
- Osun State College of Education, Ila-Orangun(Aff To Ekiti State Uni), Osun State 1
- Osun State College of Education, Ilesa, Osun State. (affl To Univ of Ibadan) 2
- Osun State Polytechnic, Iree, Osun State 467
- Osun State University, Osogbo, Osun State 11
- Our Saviour Institute of Science and Technology (polytechnic) Enugu, Enugu State 1
- PAN-ATLANTIC UNIVERSITY, KM 52 LEKKI-EPE EXPRESSWAY, IBEJU-LEKKI, LAGOS STATE. 14
- Paul University, Awka, Anambra State 2
- Petroleum Training Institute, Effurun, Delta State 1
- Precious Cornerstone University, Ibadan, Oyo State 1
- Prince Abubakar Audu University, Anyigba 30