A mobile-based application to record and monitor users' cholesterol level to prevent heart disease. This application is designed based on SDGs number 3, Good Health & Well Being. Completed with features such as recording cholesterol levels, graphs of increasing & decreasing cholesterol, percentage chance of developing heart disease, recommendations for the nearest health center, and suggestions for activities carried out according to users' cholesterol levels and percentage of developing heart disease.
Cordova-ML-Deploy is a repository that stores the source code for deploying the previously created machine learning model. In the deployment process, the fastapi library for Python is utilized to quickly create a server, along with several libraries such as scikit-learn, pandas, and pickle, which are used for data prediction. The deployment of this model is carried out using the Google Cloud Platform, complemented by Docker. Through the deployment process, the Cordova server will access this model for predictions.
- Authentication
- Record Cholesterol
- Check Heart Attack Risk Percentage
- Activity or Food Recomendation
- Recommendations for the nearest health center
| Role | Name |
|---|---|
| Hustler | Bernadeta Regina Kusumawardhani |
| Hipster | Ahmad Faiz Agustianto |
| Hacker | Handedius Sando Sianipar |
| Hacker | Gede Indra Adi Brata |
Front End
https://github.com/KeluargaBerencana-Hackfest/Cordova-FE
Back End
https://github.com/KeluargaBerencana-Hackfest/Cordova-BE
Model
https://github.com/KeluargaBerencana-Hackfest/Cordova-ML
https://github.com/KeluargaBerencana-Hackfest/Cordova-ML-Deploy
Link Deployment (Google Cloud Platform)
https://cordova-model-j5ofojnjyq-as.a.run.app
Link Documentation (Open API)
https://cordova-model-j5ofojnjyq-as.a.run.app/docs
