A responsive, interactive gallery showcasing team culture with dynamic filtering, search, and mobile-friendly design. Built with vanilla JavaScript and CSS Grid for optimal performance.

Developed a responsive frontend platform using HTML, CSS, and JavaScript to connect pet lovers with adoption centers and volunteer opportunities. Designed an intuitive UI with interactive forms, pet galleries, and mobile-friendly layouts to promote community engagement.

Developed a college prediction system using machine learning to suggest suitable colleges, branches, and programs based on JEE Mains percentile. Trained models on past admission data to provide accuracy of 81.72% and data-driven predictions using Random Forest Classifier, helping students make informed decisions.

Spam Email Classifier

Analyzed and classified a dataset of emails to achieve an accuracy of 95%. Utilized TF-IDF vectorization, Naive Bayes, and Logistic Regression to filter spam effectively. Designed a system that enhances email management efficiency by automatically identifying and removing spam.

Built a fast and responsive e-commerce website using React.js and Vite for optimized performance. Implemented user authentication, dynamic product listings, and an intuitive UI for a seamless shopping experience.