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@ChickCheckTeam

ChickCheckTeam

ChickCheck : Chicken Disease Detection Application

About

The chicken farming business is a highly promising venture, given the high demand for chicken meat and eggs in Indonesia. However, chicken farming carries a significant risk of loss due to diseases that affect chickens. According to one of the chicken producers in Central Java, PT. Tumbul Optimal Prima losses due to chicken diseases can reach around 81 million in 2021. So, how do we handle this risk and minimize losses due to chicken diseases? To address this issue, it is essential for farmers to understand how to prevent and manage chicken diseases early on. Therefore, we will develop an application to help chicken farmers in gaining a better understanding of the types of chicken diseases, their symptoms, prevention methods, and treatment procedures. This application will also help farmers directly detect diseases affecting their chickens and provide recommendations for suitable medication and the nearest places to purchase that.

🙋‍♀️ Team Introduction

Learning Path ID Name University
Machine Learning M014D4KX2588 Kadek Swasty Maha Rani Universitas Udayana
Machine Learning M014D4KY2680 I Kadek Widi Adnyana Universitas Udayana
Machine Learning M204D4KX2827 Shela Atya Mitasya Universitas Esa Unggul
Cloud Computing C524D4KY1051 Muhammad Luthfi Al-Redia Politeknik Negeri Banjarmasin
Cloud Computing C009D4KX1044 Fitri Khadijah Syahrir Universitas Gunadarma
Mobile Development A298D4KY4174 Komang Harry Sudana Universitas Pendidikan Ganesha
Mobile Development A298D4KY4199 Putu Adi Sastrawan Universitas Pendidikan Ganesha

Installation Guide

  1. Download apk file here
  2. Make sure your phone settings "Installation from another source" is enabled
  3. Click install on apk file

Using The Application

  1. Log in to the app. If you don't have an account, you can create one by clicking register.
  2. On the Home Screen, you can view your recent scan history.
  3. To scan an image, click the scan button and then click the camera button to take a picture.
  4. The Machine Learning model will process the picture, and you will be redirected to the Detail Screen.
  5. To log out, click the profile button on the Home Screen and then click the logout button.

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