"To develop an Explainable AI-based Heart Disease Prediction System using a CNN-LSTM-Attention deep learning architecture that not only predicts cardiac risk with high accuracy but also provides transparent, interpretable explanations through Grad-CAM, Self-Attention, and SHAP — enabling doctors to understand WHY a prediction was made, delivered via a real-time web-based diagnostic console with automated clinical PDF reports."
