Heart Health Predictor: Risk Analysis Using AI and ML

Authors: Prof. P.A .Shinde, Om Sopan Shirsath, Abhijeet Gorakhnath Gaikwad, Yash Digamber Lipte, Rahul Ramlal Jadhav

Country: India

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Abstract: The "Heart Health Predictor Risk Analysis using Machine Learning and AI" project provides an intelligent and user-friendly platform for predicting heart health and assessing the risk of heart attacks. Users can input key health parameters such as age, blood pressure, cholesterol levels, and obesity, or upload ECG images for a more detailed analysis. Leveraging advanced machine learning algorithms, the system processes the data to generate personalized healh insights and risk predictions. Additionally, the platform supports real-time monitoring by integrating IoT sensor data and smartwatch readings, offering continuous heart health assessments. This comprehensive tool enhances preventive healthcare by enabling early detection of potential heart issues and supporting proactive health management, ultimately improving patient outcomes and reducing the likelihood of heart-related complications.
Index Terms: Career counselling, AI, machine learning, video analysis, communication skills, academic performance, college recommendation, Maharashtra.

Keywords: Heart health prediction, heart attack risk, machine learning, AI, ECG analysis, IoT sensors, smartwatch integration, health monitoring, preventive healthcare, patient outcomes, personalized health insights.

Paper Id: 231545

Published On: 2024-11-07

Published In: Volume 12, Issue 6, November-December 2024

Cite This: Heart Health Predictor: Risk Analysis Using AI and ML - Prof. P.A .Shinde, Om Sopan Shirsath, Abhijeet Gorakhnath Gaikwad, Yash Digamber Lipte, Rahul Ramlal Jadhav - IJIRMPS Volume 12, Issue 6, November-December 2024.

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