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
- Adeseun Ogundoyin Polytechnic, Eruwa, Oyo State 1
- Adeyemi College of Education, Ondo State. (affl To Oau, Ile-Ife) 68
- Ahmadu Bello University, Zaria, Kaduna State 101
- Air Force Institute of Technology (Degree), Kaduna, Kaduna State 11
- Air Force Institute of Technology, Kaduna, Kaduna State 2
- Akanu Ibiam Federal Polytechnic, Unwana, Afikpo, Ebonyi State 6
- Akwa Ibom State University, Ikot-Akpaden, Akwa Ibom State 52
- Akwa Ibom State College of Edu, Afaha-Nsit (Affl To Uni Uyo), Akwa Ibom State 2
- AKWA-IBOM STATE POLYTECHNIC (IEI), IKOT-OSURUA, AKWA IBOM STATE 41
- Akwa-Ibom State Polytechnic, Ikot-Osurua, Akwa Ibom State 32