This web application is designed to predict whether a credit card transaction is fraudulent or not using a machine learning model. The model was trained on a dataset of credit card transactions and uses a random forest classifier to make predictions.
A demo of the web app can be found at https://credit-card-fraud-detection-parthmaniar.streamlit.app
The machine learning model used in this web app is a random forest classifier that was trained on a dataset of credit card transactions. The model was able to achieve an accuracy of around 99% on the test data. The trained model is saved as a pickle file and is loaded by the web app to make predictions.
This web app was created and deployed by Parth Maniar.