- M2082044 - Nur Imam Masri
- M2242154 - Rafkah Rizqia
- A0131304 - Dian Arisma Wicakso
- A0141345 - I Made Ari Widiarsana
- C2242155 - Nurul Uswatun Hasanah
- Project Plan (M2082044 - Nur Imam Masri)
- UI/UX (C2242155 - Nurul Uswatun Hasanah, M2242154 - Rafkah Rizqia)
- Build Machine Learning Model (M2082044 - Nur Imam Masri, M2242154 - Rafkah Rizqia)
- Android Development (A0131304 - Dian Arisma Wicakso, A0141345 - I Made Ari Widiarsana)
- Deployment Application (C2242155 - Nurul Uswatun Hasanah)
This project is our final project for Google Bangkit Academy 2021.
Machine Learning: DocBot-ML
Cloud: DocBot-Cloud
Backgrounder:
The development of the health sector in Indonesia is still not growing optimally. Public submission of symptoms of disease requires early solutions in dealing with emerging diseases. As well as long-distance service in some areas is still very difficult. The government established an institution, namely Puskesmas, which is a health service facility. Public health problems, especially remote reports, recommendations for early treatment, and appropriate health programs for the community, are still lacking and not yet integrated. The strategy in the form of application development by utilizing deep learning aims to analyze the symptoms of the disease from the community in conducting classification based on disease diagnosis health test data. It is hoped that it can help people who need recommendations for first action against symptoms of disease and related health information, in addition to that expected from the data. which is received can be analyzed by the Puskesmas to design a health program.
Android:
DocBotApp is used to interact with users in predicting disease symptoms through image or form input. By applying TFLite from Machine Learning results using CameraX and Local Files. Use of Retrofit in accessing APIs from the Cloud.
Building three kinds of models that include covid detection, fruit and vegetable nutrition content, and general disease detection.
Case :
- Covid19 Classification
- Skin and Eye Diseases Classification
- Fruits and Vegetable Classification
- SplashScreen
- Intro Apps & Animations
- Navigation Drawer
- Cek Gejala Umum
- Cek Gejala Covid
- Kandungan Buah dan Sayur
- TFLite Machine Learning
- CameraX
- Local File
- Health Info
- Articles
- About
- Android Studio 4.2
- Android Device or Android Emulator with minimum Lollipop Version
- Emulator / External Device
- USB Cable (to Connect Android Device to your Computer)
git clone https://github.com/DocBot-Bangkit-2021/DocBotApp.gitor you can use Android Studio
File > New > Project from Version Control ...
Open Android Studio and select open an existing project.
Wait for Gradle Build to Finish and finally press the Run > Run ‘app’. Now the app has been installed in your phone / emulator. Make sure that you have configured your android device or emulator