This is an extended version of Project Anya which got Top 53 on Google Bangkit 2022 Capstone Project. We combining Artificial Intelligence, Cloud Computing, and Mobile Application to prevent and detect Stunting on Indonesia.

This project is contributed by:

• Avei @Avei20 (Cloud, Backend, and Machine Learning Engineer)
• Fachri @mfachria (Mobile Developer)
• Rian @fukriandysisnadi (Machine Learning Engineer)

All of this code is published under MIT License. Feel free to fork the repository if needed for educational purpose or to continue updating this project on Machine Learning Model, Artificial Intelligence Algorithm. For more detail please contact us. Thanks.

• Application is now Available on Play Store here
• Google Cloud Architecture has been upgraded for optimizing free-tier on Google Cloud Platform, detailed can read on the paper.
• The food detection has 2 more classes than Project Anya with total of 13 food classes.
• The Height Detection algoritm still suck like before.

• Bussiness model
• Heigt Detection Algorithm
• Food Model and Implementing Federated Learning
• and much more.

• backend repository contains backend code written on Express, TypeScript, Prisma, and TensorFlow.js
• flask repository contains backend code for Height Detection Algorithm written on python3 and Flask. The algoritm is implemented using OpenCV. Detailed can be found on Paper of StunThink Project.
• Mobile repository contains full code of Mobile app. Kotlin is used 100% on this repository. Jetpack Compose is used to fullfil the 100% Kotlin. We using Clean Architecture design pattern on this Mobile App.

• Paper
• Machine Learning Dataset
• ML Model Training Notebook

For question regarding this project you can contact Avei on

• Twitter @avei__
• Email at muhammadabdulazizalghofari@gmail.com
• Dicord at avei_