DESIGNING AND MCAT STUDY APP THAT UPDATES AUTOMATICALLY AND INCLUDES A NOVEL GOAL OF OPTOMIZING A USER\u27S MENTAL HEALTH

This project investigates the multifaceted role of heart rate variability (HRV) as both a physiological and cognitive marker of human performance, with particular emphasis on its implications for academic preparation and decision- making. Drawing from recent literature, I examine the influence of exercise, sleep quality, stress management, and slow-paced breathing on HRV, highlighting its predictive value for executive function, emotional regulation, and adaptive decision-making. Additionally, the paper introduces a conceptual framework for an educational application that leverages HRV monitoring and breathing interventions such as, resonance breathing to enhance study effectiveness. Additionally, the application will feature a supplemental website to reinforce the importance of heart rate variability. The integration of large language models (LLMs) via LangChain architecture is proposed as a scalable solution for generating adaptive Medical College Admission Test (MCAT) study content6 reinforcing HRV\u27 s potential as a bridge between cognitive optimization and personalized learning systems