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@BeefyTeam

BeefyTeam

Hello I'm Beefy

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Abstract

Consumption of beef in Indonesia, the largest Muslim-majority country in Southeast Asia, continues to increase every year, but there is still low-quality beef on the market which is a challenge for the community in sorting halal beef for consumption, thus increasing the risk of disease from related bacteria such as salmonella. , E. coli, and others. In this case, an application that can monitor and control the quality of circulating beef can be an effective solution to implement from time to time. Introducing, “Beefy” is an application that allows users to analyze and detect the quality, type and shelf life of beef based on the qualitative percentage of the detection results. By using this application, the people of Indonesia can obtain more accurate and objective information regarding the quality of the beef to be consumed. It is also hoped that this will help the public in making the right decisions regarding purchasing beef consumption, as well as increase confidence in marketed beef products.

Team Detail

  • Team ID: C23-PS020

Team Members

Member Student ID Path Role Contacts
I Wayan Adi Saputra M321DSX3106 Machine Learning Machine Learning Engineer Github
Jeremi Herodian Abednigo M368DSX2131 Machine Learning Machine Learning Engineer Github
Maharani Putri Suari M368DSY2168 Machine Learning Machine Learning Engineer Github
Dzikri Mustaqim C033DSX2652 Cloud Computing DevOps Engineer Github
Athifah Muihah C013DSY2855 Cloud Computing DevOps Engineer Github
Imannuel A139DKX3842 Mobile Development Android Mobile Developer Github

Repositories

Learning Paths Link
Mobile Development Github Repo
Cloud Computing Github Repo
Machine Learning Github Repo

Mobile App Feature

  • Feature

    • Login, Users can log in as buyers or sellers. The application has 2 role systems, namely buyers and sellers

    • SignUp, Users can register to be able to use the Beefy application. Access to the application requires an account so that the system can be used

    • Scan Meat, The Beefy application can be used to measure the freshness of meat by simply taking a photo of the meat, the results of the scan will provide information on whether the meat is fresh or not along with the percentage of freshness. This feature is also available to provide information on what type of meat is being checked.

    • Transaction, Buyers can make purchases of meat from meat sellers. Through this service, buyers get guaranteed quality meat and secure transactions.

    • Product Marketing, Sellers here can pair their products with buyers so that sellers in this application can also make it easier for butchers to reach their consumers so that their products are easily recognized and obtained by people in all regions.

Pinned Loading

  1. Beefy Beefy Public

    Beefy Mobile App for meat consumption demand and solution

    Kotlin 1

  2. Beefy-AI-Models Beefy-AI-Models Public

    Special repository for the development of AI Beefy models for meat freshness classification and pork detection

    Jupyter Notebook

  3. Beefy-Backend Beefy-Backend Public

    Repository of Beefy CMS Backend Development

    JavaScript

  4. Beefy-ML-API Beefy-ML-API Public

    Deployment Beefy API

    Python 1

Repositories

Showing 5 of 5 repositories
  • Beefy-AI-Models Public

    Special repository for the development of AI Beefy models for meat freshness classification and pork detection

    BeefyTeam/Beefy-AI-Models’s past year of commit activity
    Jupyter Notebook 0 0 1 0 Updated Jun 15, 2023
  • Beefy Public

    Beefy Mobile App for meat consumption demand and solution

    BeefyTeam/Beefy’s past year of commit activity
    Kotlin 1 0 0 0 Updated Jun 15, 2023
  • Beefy-Backend Public

    Repository of Beefy CMS Backend Development

    BeefyTeam/Beefy-Backend’s past year of commit activity
    JavaScript 0 0 0 0 Updated Jun 14, 2023
  • Beefy-ML-API Public

    Deployment Beefy API

    BeefyTeam/Beefy-ML-API’s past year of commit activity
    Python 0 1 0 0 Updated Jun 14, 2023
  • .github Public
    BeefyTeam/.github’s past year of commit activity
    0 0 0 0 Updated Jun 10, 2023

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