This project aims to develop a machine learning-powered application that predicts loan eligibility. By leveraging the power of Google Cloud Platform (GCP), we will build, train, and deploy a robust model that can assess loan applications.
- Build a machine learning model: Utilize the "Banking | Marketing | Leads Conversion Data" dataset from Kaggle to train a model that effectively predicts loan eligibility.
- Leverage GCP services: Employ Vertex AI for efficient model training and hyperparameter tuning, and Cloud Run for scalable and cost-effective deployment.
- Focus on user experience: Collaborate with a UX/UI designer to create an intuitive and user-friendly interface for the application.
- Demonstrate practical application: Showcase the model's utility through a simple web application that allows users to input loan application details and receive a prediction.
- Enhance the model: Explore more advanced machine learning techniques and feature engineering to improve prediction accuracy.
- Expand the application: Add more features to the application, such as personalized loan recommendations and financial planning tools.
- Integrate with other systems: Potentially integrate the application with existing banking systems for seamless loan processing.
This project is a work in progress. Stay tuned for updates and further development!