
An AI-powered breast cancer screening and patient engagement platform with appointment scheduling, automated reminders, personalized risk assessment, educational resources, and a 24/7 chatbot.
A machine learning–powered web application built with Streamlit that predicts the likelihood of breast cancer based on diagnostic data. The app leverages supervised learning models to provide healthcare professionals and patients with quick, reliable, and accessible risk assessments, helping in early detection and decision-making.
A software engineering portfolio built with Next.js and Tailwind CSS, integrated with a headless CMS and deployed on Vercel.
Headless CMS integration with Next.js.