README.md

Ahuahu App

A sports recommendation application using machine learning methods
based on air quality at the location!
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contributing
5. License
6. Contact
7. Acknowledgements

About The Project

Hello, we would like to introduce Ahuahu. Ahuahu app is an application that can recommend you "is today the best day to do exercise outdoor or not?". The recommendation will be determine based on air quality index. This apps can help you to make decision for exercise outdoor or indoor. This application can help a people to recommend location that has good quality air for exercise around user area. Good quality air for exercise can improve the quality of exercise.

Built With

For Android Development :

• Android Studio
• Kotlin
• MVVM Architecture
• Retrofit2
• Dagger-Hilt Dependency Injection
• Room Database
• Lottie

For Machine Learning :

• Google Colab
• Tensorflow
• Numpy
• Pandas
• Keras
• Scikit Learn

For Cloud Computing :

• Python
• Flask
• Docker

Getting Started

Prerequisites

• Stable for Android 7+
• Internet Connection
• Location/GPS

Installation

1. Download the app from releases
2. Install the app on your device
3. Open it

Usage

How to use Ahuahu App :

• Open Ahuahu App
• Click Get Location button in home page
• The result recommendation will be show

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch
3. Commit your Changes
4. Push to the Branch
5. Open a Pull Request

License

Distributed under the Bangkit Academy License. See LICENSE for more information.

Contact

• Afif Tri Farhan - LinkedIn: - [email protected]
• Aprilia Susanti - LinkedIn: Aprilia Susanti - [email protected]
• Dwiky Aprian Ashari - LinkedIn: Dwiky Aprian Ashari - [email protected]
• Mohammad Febriyanto - LinkedIn: - [email protected]
• Rainal Yusril Bahrunnafar - LinkedIn: Rainal Yusril Bahrunnafar - [email protected]
• Ridha Rizkia Putri - LinkedIn: - [email protected]

Project Link: https://github.com/MohammadFebriyanto/ahuahu_app

Acknowledgements

• Potential datasets : https://data.jakarta.go.id/dataset/indeks-standar-pencemaran-udara-ispu-tahun-2020/resource/0f168955-5771-43a2-9fed-9c74ac3c268e
• Potential API: https://aqicn.org
• Academic paper / journal from explorations :

1. ML for Classification (https://datajobs.com/data-science-repo/Supervised-Learning-[SB-Kotsiantis].pdf; https://www.researchgate.net/publication/319370844_Classification_Techniques_in_Machine_Learning_Applications_and_Issues; https://www.researchgate.net/profile/J-E-T-Akinsola/publication/318338750_Supervised_Machine_Learning_Algorithms_Classification_and_Comparison/links/596474ae0f7e9b819497e053/Supervised-Machine-Learning-Algorithms-Classification-and-Comparison.pdf )
2. Parameter Optimization (https://arxiv.org/abs/2007.15745)
3. Human Health Effect of Air Pollution (https://www.sciencedirect.com/science/article/pii/S1877042814054986; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8746201)

Special Thanks To