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.
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For the full publication, please contact the author directly at: ismailmafindi8@gmail.com
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Institutions
- Ekiti State University 58
- Ekiti State University, Ado-Ekiti, Ekiti State 880
- Elizade University, Ilara-Mokin, Ondo State 100
- Emmanuel Alayande College of Education, Oyo. (affl To Ekiti State Univ) 1
- Enugu State Polytechnic, Iwollo, Enugu State 4
- Enugu State University of Science and Technology, Enugu, Enugu State 29
- Evangel University, Akaeze, Ebonyi State 2
- FCT COLLEGE OF EDUCATION, ZUBA ,( AFFILIATED TO ABU, ZARIA), FCT-ABUJA 5
- Federal College of Agricultural Produce Tech, Hotoro Gra Ext, Kano, Kano State 2
- Federal College of Educ. (Special), Oyo, Oyo State (Aff To Uni. Ibadan) 10