Fruit freshness detector web app for Bangkit Capstone Project 2021

Our website for Bangkit Capstone Project that can predict the level of ripeness of fruits and how much the cost would be.

Prerequisite

• Python 3

Setup

Clone this repository and go to the cloned folder.

git clone https://github.com/Bangkit2021-0347/fruit-freshness-detector-web.git
cd fruit-freshness-detector-web

Create python virtual environment.

pip install virtualenv
virtualenv venv

Initialize virtual environment

source venv/bin/activate

or use this if you are using windows

.\venv\bin\activate

Install dependencies using pip.

pip install -r requirements.txt

run the app with Flask

flask run

and lastly, open http://127.0.0.1:5000/ on your browser.

Deployment

Deploy to Heroku

heroku login
heroku git:clone -a fruit-freshness-detector-web
cd fruit-freshness-detector-web
git add .
git commit -am "make it better"
git push heroku master

Deploy to Google App Engine

gcloud app deploy

Deploy to Google Cloud Run

gcloud builds submit --tag gcr.io/PROJECT-ID/fruit-freshness-detector-web
gcloud run deploy --image gcr.io/PROJECT-ID/fruit-freshness-detector-web  

API

Recognize Image

Return recognize result as JSON.

• URL

  /api/recognize

• Method:

  POST

• Content-Type

  multipart/form-data

• Data Params

  image=[file]

• Success Response:

  • Code: 200
    Content: { freshness_level : 100, price : 10000 }

Run Test

python -m unittest discover tests

License

MIT