Abstract
This report describes Maintenance Request AI Tracker, an innovative propertymaintenance management system that streamlines the reporting, tracking, and resolution of tenants' complaints and maintenance concerns. The idea combines AI, automation, and a centralized digital dashboard to address the inefficiencies seen in traditional methods of maintenance reporting.
This idea intends to make building maintenance management simpler, faster, and more accurate. Current methods rely heavily on informal channels such as phone calls and WhatsApp messages, which leads to report duplication, information misplacement, response time delays, and a lack of appropriate tracking of maintenance progress. Maintenance Request AI Tracker addresses all of these limitations by creating a systematic, automated, and transparent method that speeds up decisions and gives property managers more control over operations (Hauashdh et al., 2022).
Metadata
| Item Type: | Entrepreneurship Project |
|---|---|
| Creators: | Creators Email / ID Num. Mohamad Sabir, Asyraff Zulqarnain 2024429908 Mohsin, Muhammad Farith Daniel 2024217252 Mohd Fauzi, Muhammad Hanif 2024676236 Mazlan, Nur Ain Hanisah 2024215626 Nik Azhar, Nik Alia Amira 2024226602 Hasran, Nur Aina Najwa 2024242176 Mohd Jamal Ikram Muddin, Noor Qistina Aini 2024280596 |
| Subjects: | Q Science > QA Mathematics > Web-based user interfaces. User interfaces (Computer systems) T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Computer networks. General works. Traffic monitoring > Web applications |
| Divisions: | Universiti Teknologi MARA, Selangor > Puncak Alam Campus > College of Built Environment |
| Keywords: | Cascading style sheets, CSS framework, Utility-first architecture, Web engineering, Front-end development, Developer experience, DX |
| Date: | December 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/136679 |
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