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
- Al-Hikmah University, Ilorin, Kwara State 2
- AL-ISTIQAMAH UNIVERSITY, SUMAILA, KANO STATE 1
- Al-Qalam University, Katsina, Katsina State 5
- Alex Ekwueme Federal University, Ndufu-Alike, Ebonyi State 87
- Alvan Ikoku College of Education, Imo State, (Affl To Univ of Nigera, Nsukka) 11
- Ambrose Alli University, Ekpoma, Edo State 478
- Anambra State College of Health Technology, Obosi, Anambra State 1
- Auchi Polytechnic, Auchi, Edo State 501
- Auchi Polytechnic, Auchi, Edo State. (affl To Nnamdi Azikiwe University, Awka) 3
- Audu Bako College of Agriculture Danbatta, Kano, Kano State 54