Bangkit 2022 Product Based Capstone

Team ID : C22-PS063

Members :

• (M2320F2805) - Yudhistira Anggara Jayadinata - Universitas Surabaya
• (M2189F1809) - Meca Nerdika - Universitas Bengkulu
• (M2303F2603) - Maria Stephania Widodo - Universitas PGRI Semarang
• (A7012F1285) - Muhammad Rizky Wibowo - Universitas Telkom
• (A2118F1473) - Taufan Adhitya Nugroho - Institut Teknologi Perusahaan Listrik Negara
• (C2189F1810) - Maria Rosewati Pardede - Universitas Bengkulu

DermaCare

This project is our final project for Google Bangkit Academy 2022. the main feature of this project is to identify skin disease using android apps. for now we can classify 15 of different uncommon skin disease. with more dataset for our label, we hope can clasify more skin disease.

Features

User

	Take a picture of their current skin condition
	Find a treatment for their skin

Dermatologist/Expert

	Provide relevant articles
	Help complete the system by adding suggestions

How to Set Up

Local environment

to replicate our project you have to

1. Clone this following repo https://github.com/yuira34/capstone_project.git
2. Open the android folder in Android Studio

environment for machine learning model

1. python 3.9.x interpreter another option you can use colab or jupyternotebook
2. numpy libraries
3. TensorFlow 2.8.0 libraries
4. pandas libraries
5. MobileNetV2
6. Dermnet dataset
7. other libraries

environment for android developer

1. SDK 28
2. Android Studio
3. Kotlin
4. TensorFlow Lite
5. Firebase

License

Dermnet uses dermnet dataset, which is an open-sourced dataset licensed under the nc-nd license.