SWEETECT

Sweetect is an application that could classify food images with their Sugar and Calorie level. Sweetect is built using a machine learning model that is trained with the Food101 Dataset (https://www.kaggle.com/dansbecker/food-101). Sweetect Website is written in html, css, javascript, and the ML model is wrapped using Python Flask web service. Sweetect Android is written in Kotlin and developed using Android Studio. The website app is containerize using Docker and deployed onto Google Cloud Platform (GCP)'s service Google Cloud Run (GCR). Sweetect is available on Website and Android App:

Website:

https://sweetect-deployment-hhte7av7wq-as.a.run.app/

Android:

https://drive.google.com/file/d/1TrTsAFby__mfYmxM3H-jtYCzuDKKC6Fy/view?usp=sharing

To Replicate our Project Follow this Document:

https://docs.google.com/document/d/161tZ8TSEzGTJm-r2Oq1_MQmcekUbon0tXf5eAWdr6FE/edit?usp=sharing

Summary:

According to the International Diabetes Federation (IDF), In 2019 Indonesia is 7th in the world with 10.7 million people suffering from diabetes. Prof. Dr. dr. Ketut Suastika, SpPD-KEMD said on World Diabetes Day 2020: "Indonesians suffer most from diabetes type 2 which is caused by unhealthy lifestyle." Unhealthy lifestyles, such as consuming food or drink with high calories, and sugar may lead to diabetes. Our research questions consist of: How to monitor our daily sugar and calorie intake from food, how to create a machine learning model to detect sugar and calorie from food, how to evaluate the machine learning model, how to implement the machine learning model to an Android app or a Web app. We want to create a platform to help people monitor their sugar and calorie intake so they can have a healthier lifestyle.

This project is developed as a part of Bangkit 2021 Capstone Project:

Learn more about Bangkit here:

https://grow.google/intl/id_id/bangkit/

This project is developed by B21-CAP0203.

B21-CAP0203 Team Member:

Ferdy Rahmaesa Suarial (A2292216) - Mobile Programming (Android) - Universitas Jenderal Soedirman

Ayuk Hidayanti (A3142803) - Mobile Programming (Android) - Universitas Singaperbangsa Karawang

Cut Aisyah Yunan (C3353001) - Cloud Computing - Universitas Yarsi

Pashadidan Fadhillah (C0050394) - Cloud Computing - Universitas Bina Nusantara

Adhi Setiawan (M0060603) - Machine Learning - Universitas Brawijaya

Ahimsa Imananda (M3352994) - Machine Learning - Universitas Yarsi