Systematic Review on: Integrating AI and Photoplethysmography

— The identification of individual phenotypes is crucial for personalized medicine, as it enables the development of healthcare strategies specifically designed to meet the unique biological and physiological needs of each patient. Ultimately, this work aims to provide both patients and clinicians with actionable, data-driven insights that support proactive health management and enhance overall health outcomes. AyurTalk is an AI-powered chatbot designed to assess an individual’s Prakriti (body constitution) or phenotype through machine learning algorithms such as SVM, KNN, Naive Bayes (NB), ANN, Decision Trees, Gradient Boosting, and AdaBoost. The system integrates Photoplethysmography (PPG) to measure the user's pulse via a smartphone camera. By analyzing user input, including health issues and pulse data, AyurTalk diagnoses health conditions and offers personalized Ayurvedic remedies based on Prakriti. Features like voice-to-text assistance and fitness coaching further enhance the user's experience, offering customized diet and workout plans. Keywords—Phenotype assessment, Chatbot, Artificial Intelligence, Machine Learning, Photoplethysmography (PPG), Natural Language Processing, Deep Learning.