The aim of the project was to analyze the dataset and create an ML model that would predict the Credit Card Defaulter. We have used Python Libraries for data analysis and model creation (backend) and HTML and CSS for creating Web UI for the project.
You can see and use our project live on : https://credit-card-default-prediction-app.onrender.com/
When the User land on our webpage, he/she sees a webpage welcoming them to Credit Card Default Prediction and ask them to move further by clicking on the ‘Predict!’ button.
This is the next page that can be accessed by clicking on ‘Predict!’ button on the homepage or by clicking on predictor tab in the navigation bar on the homepage The user sees various fields asking for information that is required to predict the Credit Card Default. Every user input has its own dropdown where the user can select their input. After providing the required input and pressing the submit button, the page refreshes and displays the predicted Credit Card Default.
