Fruit freshness detector web app 2024

Our website can predict the level of ripeness of fruits and recommend that you should eat or not.

Prerequisite

• Python 3

Setup

Clone this repository and go to the cloned folder.

git clone https://github.com/PyaeLinn01/fruit-freshness-detector.git
cd fruit-freshness-detector

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.

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