FruityFit

CH2-PS327

CH2-PS327 Contributors

Name	Bangkit-ID	Learning Path
Evander Gabriel	M239BSY0797	Machine Learning
Christopher Ade Wiyanto	M239BSY1097	Machine Learning
Sonya Oktavia	M200BSX1152	Machine Learning
Danar Hadi Bachtiar	C253BSY3294	Cloud Computing
Muhamad Arya Al Ghifari Wibowo	C134BSY3568	Cloud Computing
Melisa Wijaya	A239BSX2324	Mobile Development
Adam Rayhant Laksono	A009BSY2477	Mobile Development

Android APK File

https://drive.google.com/file/d/19O4ZtDgYAGm9E5f5d_n35WpYaOH2WlP6/view?usp=sharing

Cloud Computing

REST API Documentation

https://documenter.getpostman.com/view/23146615/2s9YeHZAPM 

Cloud Architecture

Google Cloud Platfrom Pricing

Project Installation

Components and Requirements

• MySQL database running on Google Cloud Platform
• Cloud Storage Bucket
• REST API developed using Express and Flask
• Deployed REST API on App Engine
• Deployed Machine Learning Models on Cloud Run

Workflow

1. Clone The Project

git clone https://github.com/FruityFit/Cloud-Computing.git 

2. Create Cloud Storage Bucket

• Open Cloud Console, head to Cloud Storage > Buckets > Create
• Create necessary folder, such as pfp and products
• Set bucket permission as public with grant access to allUsers as Storage Object Viewer
• Create service account key for storage bucket, head to APIs & Services > Credentials > Create service account

3. Create SQL Instance

• Open Cloud Console, head to Cloud SQL > Create Instance > MySQL
• Create new database on your SQL instances
• Create tables based on schema below

4. Deploy REST API to App Engine & Cloud Run

• Open cloud shell editor and go to API folder
• Add your storage bucket service account to API folder
• Run gcloud app deploy. When finished, it will show your deployed service URL
• To deploy the models, go to Cloud Run - Fruit Classification folder and create the docker image then push to Artifact Registry
• Open cloud console and head to Cloud Run
• Create a new service and fills the required fields. When deployment finished, it will show your service URL
• Do the same for Cloud Run - Chatbot folder