CARES (Cancer Awareness and Risk Evaluation by Self-Assessment) monitors real-time blood data through regular CBP (Complete Blood Picture) updates to assess cancer risk. It also offers comprehensive information on cancer symptoms, treatments, and preventive measures.

An open-source platform sharing machine learning research on neurological disorder early detection while fostering education and collaboration across technical and healthcare communities.

This project aims to enhance the detection and categorization of pancreatic cancer by applying advanced Python-based machine learning and deep learning methodologies. Utilizing popular algorithms remarkable accuracy was achieved in classifying pancreatic cancer through urinary biomarkers.

An AI-powered app that detects early-stage Diabetic Retinopathy from fundus images using deep learning models like Vision Transformer and UNet.