Technologies: Flask, TensorFlow, Keras, CNN, VGG16

A web-based tool using Flask and TensorFlow/Keras to detect brain tumors in MRI scans. It classifies images into four categories with confidence scores and generates PDF reports. A valuable aid for medical professionals.

Technologies: React, TypeScript, Tailwind CSS

A modern e-commerce web application built with React and TypeScript, offering a seamless shopping experience. Users can browse products by category, manage carts and wishlists, authenticate securely, and select payment methods. Its responsive design ensures accessibility across devices.

Technologies: ASP.NET MVC, Entity Framework, MSSQL, Bootstrap 5.0.2

A house rental platform developed using ASP.NET MVC and MSSQL, designed for landlords and tenants. It features user registration, profile management, rent searching, and an apartment dashboard. Tenants can send requests, and owners can manage listings effortlessly.

Technologies: Decision Tree, Random Forest, SVM, KNN, BioBERT, PubTator

A research-based project analyzing gene-disease associations using benchmark datasets like DisGeNet, OMIM, CTD, and GWAS. Explores machine learning models such as Decision Trees, Random Forests, SVM, and KNN for classification. Highlights the importance of genetic databases and biomedical data extraction tools for advancing genomic research.