IRIS-classification flask api

IRIS species classification API and web-page with FLask, sklearn, numpy and HTML/CSS.

The web-app can be found at https://iris-classification-flask.herokuapp.com/

Web-page preview

1. Adding inputs

2. Submiting the input and predicting the species

3. Checking the Prediction

Requirements

For this project we require:

1. Flask pip install flask
2. Sklearn pip install sklearn
3. Numpy pip install numpy

Running the web-page

The web-page can be started using python app. py.

The server will start running on http://127.0.0.1:5000/ (default). The web-page can be used by heading to the address.

TODO

1. Add species web link and images after prediction.