Nurmiza, Shahrulnzia (2025) FINAL YEAR PROJECT [FYP] - AI Image Detection for Parcel Scam System: CT206: AUG 2025. Project Report. UPTM.
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FINAL REPORT FYP4085 SEC1 NURMIZA BINTI SHAHRULNIZA AM2311015320.pdf Download (5MB) |
Abstract
The results point to a steady rise in the frequency of parcel scams in Malaysia, with scammers repeatedly using or manipulating similar images, such as receipts for delivery, confirmation of payments, and screenshots of tracking to deceive victims. This project, entitled "AI Image Detection System for Parcel Scams," was thus developed to help curb the problem by providing the public, especially Malaysian online shoppers and the general internet-using population, with easy and reliable access to a platform for verifying the authenticity of parcel- related images. The system employs AI-based analysis to spot reused, manipulated, or AI- generated images, presenting to the user a probability score and detailed explanation of the results. Extra features, such as scam awareness tips, real Malaysia scam case references, and an integrated user manual, further enhance user understanding and prevention efforts. This project is developed using the Agile methodology; hence, it allows iterative refinement based on feedback and evolving requirements. The overall system design includes a structured database, user-friendly interface, and a well-defined admin dashboard for managing content and monitoring user activities. As a whole, this solution contributes toward strengthening public awareness to minimize parcel scam threats and supporting safer online practices in Malaysia.
| Item Type: | Monograph (Project Report) |
|---|---|
| Uncontrolled Keywords: | AI Image Detection for Parcel Scam System, CT206 |
| Divisions: | Faculty of Computing and Multimedia (FCOM) |
| Depositing User: | Library3 UPTM |
| Date Deposited: | 20 May 2026 08:17 |
| Last Modified: | 20 May 2026 08:17 |
| URI: | http://eprints.uptm.edu.my/id/eprint/5623 |
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