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Repository for Product-Based Capstone Project Bangkit 2022 (C22-PC381)

Python 0.03% Kotlin 6.41% Jupyter Notebook 93.56%

acnetect's Introduction

C22-PC381 Bangkit 2022 Product-Based Capstone Project (Acnetect)

Bangkit

Acnetect

Hello Everyone! 👋

We are from team C22-PC381, and here is our project repository for Bangkit 2022 Capstone project. Our project combines technologies from machine learning, mobile development, and cloud computing to produce an application that can classify facial acne.

Table of contents

Our Knights

Member Student ID Learning Path Role Contacts
Ni Putu Eka Januartati M2014K1365 Machine Learning Project Manager, Machine Learning Engineer LinkedIn or Github
Darwindra M2012G1292 Machine Learning Machine Learning Engineer LinkedIn or Github
Farhan Rizqy Governilahnsyah M2206K1907 Machine Learning Machine Learning Engineer LinkedIn or Github
Wawan Herwansyah A2308F2654 Mobile Development Android Developer LinkedIn or Github
Ilham Arifin C2122F1545 Cloud Computing Cloud Engineer LinkedIn or Github
Rifqi Hadi Firdaus C2268G2300 Cloud Computing Cloud Engineer LinkedIn or Github

Overview

Soon

Machine Learning

ML Overview

Soon

ML Technologies

Our project is built using Machine Learning Technology with Convolutional Neural Network algorithm. Here are the libraries used in our project:

Acne Classification

We classify 3 types of acne disease, including:

  1. Blackhead
  2. Nodule
  3. Postule

Dataset

Soon

Launch

Soon

Mobile Development

MD Overview

Soon

MD Technologies

Download APK

Soon

Cloud Computing

CC Overview

Soon

CC Technologies

How to Install

Soon

Testing

Soon

acnetect's People

Contributors

ekajanuartati avatar iamfinnz avatar jonylaru avatar

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