Advancing Palmistry with AI: Integrating Machine Learning and Deep Learning for Predictive Analysis

Author(s)	Prof. Saloni Shrivastava
Country	India
Abstract	This paper explores the intersection of palmistry and artificial intelligence (AI), focusing on the integration of machine learning (ML) and deep learning (DL) techniques to enhance predictive analysis. Palmistry, an ancient practice of interpreting an individual’s future and personality through the study of palm lines and shapes, has traditionally been subjective and qualitative. This paper reviews the current state of palmistry, AI, ML, and DL, and discusses how these technologies can be applied to develop objective, data-driven palmistry models. This survey aims to provide a comprehensive understanding of the opportunities, challenges, and future directions in this emerging field.
Keywords	Palmistry, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Predictive Analysis, Biometric Analysis, Image Processing, Pattern Recognition, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Personality Assessment, Health Monitoring, Ethical Considerations, Data Quality, Standardization
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-06-23

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