A modern, distributed student management platform built with microservices architecture, enabling seamless student profile management, enrollment workflows, and academic tracking.
A machine learning system for early heart disease risk prediction combining multiple algorithms including Random Forest, Logistic Regression, and KNN, achieving 88% accuracy on a comprehensive healthcare dataset.
A comprehensive testing framework for evaluating Large Language Models' ability to generate HTML/CSS code from visual inputs, featuring automated metrics and manual evaluation across multiple leading LLMs including GPT-4, Claude, and Gemini.