International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Analysis Study Research Paper | Information Technology | Volume 15 Issue 3, March 2026 | Pages: 823 - 827 | India


AI Healthcare with Chakras and Temples: Example Using Tirumala-Tirupati

Dr. Suneel Pappala

Abstract: Artificial Intelligence (AI) is transforming modern healthcare by enabling intelligent data analysis, predictive diagnostics, and personalized treatment solutions. In parallel, traditional wellness systems such as the chakra energy framework emphasize the balance between physical, mental, and spiritual health. This study proposes a novel holistic healthcare model that integrates AI-based health monitoring with chakra energy analysis within a temple-based wellness environment. The research takes inspiration from the spiritual ecosystem surrounding the Tirumala Venkateswara Temple located in Tirupati, which attracts millions of pilgrims seeking spiritual and psychological wellbeing. The proposed system utilizes wearable sensors and smart health devices to collect physiological parameters such as heart rate, stress levels, blood pressure, and sleep patterns. These health indicators are processed using Artificial Intelligence and Machine Learning algorithms to identify patterns related to emotional and physical imbalances associated with the seven chakras. The temple environment, including meditation, chanting, and spiritual rituals, acts as a natural wellness space that may influence stress reduction and emotional balance.

Keywords: Chakra Energy System, Holistic Healthcare, Machine Learning, Spiritual Health Analytics, Preventive Healthcare, Tirumala-Tirupati

How to Cite?: Dr. Suneel Pappala, "AI Healthcare with Chakras and Temples: Example Using Tirumala-Tirupati", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 823-827, https://www.ijsr.net/getabstract.php?paperid=SR26313103232, DOI: https://dx.dx.doi.org/10.21275/SR26313103232

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