the iris classification system developed with logistic regression algorithm got accuracy of 100% ! this project will predict data entered is belong to which classes used mongobd atlas connection for storing login data.

steps to running this projects

Step 1 : open google colab

Step 2 : open the file named Copy_of_Welcome_To_Colab.ipynb in the google colab

Step 3 : create the folder named templates and upload the two html pages that is ProjectHomepage.html and the login page in the templates folder and outside the templates folder add the two models named iris_species_model.joblib !

Step 4 : in the Copy_of_Welcome_To_Colab.ipynb code that is the flask code add your mongodb connection string!

Step 5 : open ngrok website and take the authentication code from that website once sigin add that

Step 6 : install dependencies and run the flask code !