The web app "Differencial Privacy" is built as a project of Artificial Intellligence lab project. It shows how data accuracy differs when we use to inser noise into data to ensure privacy.
It was developed as Artificfical Intelligence(CSE 4111) lab project.
Front-end is built with simple HTML, CSS & JAVASCRIPT and The back-end is built with Python flask.
The dataset is taken from ="https://www.kaggle.com/datasets/jimking100/differential-privacy-challenge-sprint-3"
The dataset couldn't be uploaded because it has bigger file size.
If you want to run it please download the dataset and put it to "./backend/dataset" folder first.