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
- Binyaminu Usman Polytechnic, Hadijia, Jigawa State 3
- Borno State University, Maiduguri, Borno State 15
- Bowen University, Iwo, Osun State 1
- Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State 253
- College of Agriculture and Animal Science, Mando Road, Kaduna, Kaduna State 1
- College of Agriculture, Science and Technology, Lafia, Nasarawa State 8
- College of Education, Akwanga (affl To Ahmadu Bello Univ, Zaria) 1
- College of Education, Eha Amufu, (Affliliated To Unn), Enugu State 1
- College of Education, Warri (Affiliated To Delta State Uni, Abraka), Delta State 1
- College of Health Technology, Calabar, Cross River State 1