Next Basket Recommendation System helps predict what a customer is likely to buy next based on their past purchases and shopping history. It uses simple machine learning methods like finding items that are often bought together and studying buying patterns over time. The system looks at how products are related, how often they are bought, and the gap between purchases. It is commonly used in online shopping apps to give better product suggestions and improve customer experience. This project shows my skills in machine learning, data analysis, and building recommendation systems.

Job Application Tracker is a system that helps users organize and manage their job applications in one place. It allows tracking of applied jobs, company details, application status, and interview updates. The system helps users stay organized and never miss follow-ups or deadlines. It can include features like reminders, filters, and status updates (applied, shortlisted, rejected). This project demonstrates skills in web development, database management, and user-focused design.

A To-Do App is a simple tool that helps users organize their daily tasks in one place. It allows adding, editing, and deleting tasks based on priority and deadlines. Users can mark tasks as completed to keep track of progress easily. It helps improve productivity by keeping work and personal tasks well organized. This project shows my skills in building clean, user-friendly, and practical applications.