Developed an advanced cardiac arrest detection system leveraging state-of-the-art machine learning and deep learning techniques to predict and identify cardiac events in humans.Implemented sophisticated Machine Learning algorithms, including Logistic Regression, Decision Tree, and Random Forest, to enhance the predictive accuracy of the system.Utilized real-time physiological data such as Electrocardiograms(ECG), Blood Pressure readings, Cholesterol, Age, Weight, Sugar level to facilitate precise detection and timely intervention for cardiac arrest.

During my tenure as an AI-based LLM and Prompt Engineering intern at Certisured, I refined my expertise in Prompt Engineering.My project entailed devising solutions for prompts utilizing advanced AI tools.This hands-on experience significantly augmented my skill set and was instrumental in advancing my professional growth.