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Women's Care With Generalized Metabolism Analysis Report Based on Age Using Deep Learning
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Author(s): Madhuri Amit Sahu (G H Raisoni College of Engineering, India), Minakshi A. Ramteke (G H Raisoni College of Engineering, India), Amit P. Sahu (G H Raisoni College of Engineering, India), Harshita Chourasia (G H Raisoni College of Engineering, India)and Sivaram Ponnusamy (Sandip University, India)
Copyright: 2024
Pages: 13
Source title:
Impact of AI on Advancing Women's Safety
Source Author(s)/Editor(s): Sivaram Ponnusamy (Sandip University, Nashik, India), Vibha Bora (G. H. Raisoni College of Engineering, Nagpur, India), Prema M. Daigavane (G. H. Raisoni College of Engineering, Nagpur, India)and Sampada S. Wazalwar (G. H. Raisoni College of Engineering, Nagpur, India)
DOI: 10.4018/979-8-3693-2679-4.ch017
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Abstract
Women are facing different problems in different stages. The importance of comprehending women's personal and health issues is highlighted in the opening section. Women are suffering from so many problems, such as peer pressure, depression and anxiety, financial issues, transportation blockades, time management, girls' security and safety, homesickness, career choice perspective, early marriage issues, physical activity and nutrition, substance abuse, mental health issues, physical injury, and violence. The data is grouped by age; for instance, age 8 to 12, age 12 to 16, age 17 to 24, age 25 to 30, age 30 to 40, age 40 to 60, and age 60 to 80. Using deep learning techniques, the proposed system aims to conceptualize and understand these issues, and to develop one website which would provide a solution for each and every query with consulted name and address.
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