Medical diagnosis processes in real life are very complex as they involve impreciseness and vague features of professionals. Various factors influence day-to-day medical diagnosis issues, making the process even more complex. Medical professional intuition plays a significant role in diagnosis, often involving several uncertain factors affecting the patient’s body. In the present article, we design and develop Intelligent system to assess the current status of a patient’s cardiac-related issues. The proposed system leverages ECG graphs to offer precise and timely diagnostic insights. This system aspires to enhance the accuracy and efficiency of cardiac health assessments by addressing the inherent complexities and uncertainties in medical diagnosis.