Teh, Zhi Khan (2018) Smart dressing assistant system (Dressing genie). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
Dressing collocation can affect anyone’s appearance in a negative or positive way on how they dress. The project proposed a new project which is to develop an intelligent system to cater the users' body shape, preferences and requirements of dressing collocation. In this system, it proposes to use image processing technique to predict user’s body measurements. It also implements machine learning to study the users' body shape from body measurements and provide an accurate recommendation of services each time the user is having a dressing problem. A pre-set collection of body measurements and dressing collocation information will be stored in system database and dataset over time, the system will then learn and predicts each users’ body shape and needs, and advises the suitable costume pattern for them. The system had developed with Microsoft Azure Virtual Machine, Vision API and Storage. The final phase of the project is the application of the system on a mobile app with network.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Dressing collocation, Body shape prediction, Image processing, Machine learning, Personalized fashion recommendation |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Library > Final Year Project > FTMK |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 23 Jun 2025 08:36 |
| Last Modified: | 23 Jun 2025 08:42 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/36118 |
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