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A robust heart disease risk assessment tool built with Python and Streamlit. Utilizes an Ensemble Stacking Classifier (Random Forest, XGBoost, SVM) to predict cardiovascular disease with high accur…
AI-powered waste classification system using Deep Learning (MobileNetV2). Features real-time camera detection, batch processing, and detailed analytics. Built with Flask and TensorFlow.
NeuroStroke AI: An open-source deep learning system for automated brain stroke detection from CT scans. Features CNN with VGG19 transfer learning, achieving 92% accuracy. Includes interactive web i…