Projects

This project leverages machine learning to detect heart disease early, potentially saving lives through timely intervention. By analyzing comprehensive risk factor datasets, we aim to identify high-risk individuals, contributing to personalized medicine.

The Personal Finance Management System, developed with Java Swing on Apache NetBeans IDE and MySQL, allows users to monitor financial habits, track transactions, and visualize monthly data with charts.

CodeDrop allows you to easily paste and share code snippets with others. Set expiration times for automatic deletion and ensure secure, temporary sharing. Perfect for quick collaborations and ephemeral exchanges.

Customer churn prediction uses data analysis to identify customers likely to leave a service or stop buying a product. This helps businesses take actions to retain those customers, improving customer loyalty and reducing revenue loss.