As a final year project, I collaborated to build an intelligent brain tumor detection system using Convolutional Neural Networks (CNN) and transfer learning with VGG16. Trained on 7,000+ MRI images (glioma, meningioma, pituitary, and no tumor), the model performs high-accuracy classification with advanced preprocessing like data augmentation, skull stripping, and RGB conversion. We fine-tuned VGG16, added Dense, Dropout, and Softmax layers, and evaluated performance using accuracy, recall, precision, and confusion matrix. Designed for real-world use, the system integrates with a MERN-based web interface, delivering structured outputs and over 95% classification accuracy.

Lugaa

Luxury Hotel is a modern, full-stack web application built with Vite, React, TypeScript, and Tailwind CSS. It integrates UI components from ShadCN and Radix UI, with form handling via React Hook Form and Zod. The project also utilizes Supabase for backend services and TanStack Query for data fetching, offering a performant, theme-ready, and highly customizable development experience.

A Node.js-based web application built with Express.js and Handlebars that provides real-time weather information using an external API. It features dynamic routing, error handling, and user-friendly views. The app integrates the postman-request library to fetch weather data and demonstrates server-side rendering and basic RESTful architecture.