Skin sleuth application

Sivaji Ganesan, Naga Narveen (2023) Skin sleuth application. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

The bond between patients and medicines is unbreakable. Medicines have been a survival factor for patients and to attain better health as well. Most patients would face a hard time when tons of medications have been prescribed and no proper monitoring has been done. Besides, it would also be frustrating when patients need to visit doctors just for the sake of getting prescriptions. Patients also lack knowledge of their medications at times and this further makes the medicine consumption process harder. Sometimes, patients may not figure out that skin changes may indicate the development of skin disease. To address these issues, a mobile application is proposed that aims to provide patients with a seamless digital experience when engaging with their medications, specifically focusing on the skin domain. The application will act like a medicine guide which able to provide the medicines’ details along with its way to practice the medicine after capturing the physical QR imprinted on the medicines. It also allows users to conduct skin disease detection by capturing the area which is infected and does an early diagnosis of the disease by stating the type of disease. It is also able to provide recommendations for medicines based on the disease detected. The application will also aid users as a medicine reminder by reminding the time of medications. The technique used in the function to detect the disease will be the image recognition where an image recognition model will be trained out using Convolutional Neural Network. The recommendation function will be developed using the rule-based approach, while the medicine reminder will be developed using the push notification method. In conclusion, the proposed application is expected that all its functions stated above are working and fulfilled all the requirements of this project.

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