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
- Sokoto State University, Sokoto, Sokoto State 42
- St. Albert The Great Major Seminary, Abeokuta. (affl. To University of Benin) 1
- Sule Lamido University, Kafin Hausa, Jigawa State 4
- Tai Solarin University of Education, Ijagun, Ogun State 18
- Tansian University, Oba, Anambra State 1
- Taraba State University, Jalingo, Taraba State 32
- Temple-Gate Polytechnic, Osisioma, Abia State 1
- The Oke-Ogun Polytechnic, Saki, Oyo State 6
- The Polytechnic, Ibadan, Oyo State 13
- THOMAS ADEWUMI UNIVERSITY, OKO-IRESE, KWARA STATE 1