B21-CAP0057 [SAMHAN-TECH]

Bangkit Capstone Project 2021: Kikuma (Penyakit Kulit Mastery)

Fullfil the Needs of Your Skin In One Apps

Documentation Available Here:


· Report Bug · Request Feature · Endpoint Documentation

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contributing
5. License
6. Contact
7. Acknowledgements

About The Project

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Our application provides the following skin disease detection services using Convolution Neural Network Algorithms with detailed information about the disease. Diseases that can be detected by this application is currently only Acne with various common type. These clinical symptoms are detected via a smartphone camera and upload images from storage media. Once detected successfully, a recommendation will be given to the nearest hospital from the user's location. Built using Kotlin programming language, SOLID Principles, and neat UI/UX design layout setup using XML. It will also design responsive applications in collaboration with the architecture of the google cloud and artificial intelligence models. Cloud will deploy machine learning models, running several queries, and provide consumable API for data fetching on mobile platform.

Built With

• Android Studio Native
• Firebase Firestore
• Firebase Storage
• Google Cloud Platform Services
• Kotlin Programming Language
• MobileNetV2 Model Based Architecture

Prerequisites

1. Android Lolipop (SDK 21)
2. Internet Connection
3. GPS/Location

Installation

1. Download The APK
2. Install The APK

Usage (WIP)

How to detect skin disease

1. Login to your account
2. Choose "Camera" on the bottom navigation menu.
3. Take a photo of your skin.
4. After that you can add note about the skin condition before see the Magic!
5. Now, The prediction about the type of your acne has been out! You can also see the articel related to your skin condition in Kikuma Apps!
6. If you wanna go to beauty clinic, you can see kikuma our recommendation beauty clinic!
7. If you want to track your skin condiition, you can see the prediction history in your profile page!

Contact

SAMHAN-TECH

• Adam Rozaq Sobari [C0090948] - [email protected]
• Abadi Suryo Setiyo [A0090950] - [email protected]
• Haikal Ardikatama [M0090964] - [email protected]
• Mumti Hany Farisa [A2242177] - [email protected]
• Nafisah Ayu Baghta [C0101079] - [email protected]
• Sinatrio Bimo Wahyudi [M0090984] - [email protected]

Project Link: https://github.com/Clayrisee/Kikuma