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Exploring Financial Empowerment for Women Professionals Through Deep Learning Technologies

Exploring Financial Empowerment for Women Professionals Through Deep Learning Technologies
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Author(s): Lalitha V. (SRC, India)and Revathy G. (SASTRA University, India)
Copyright: 2024
Pages: 18
Source title: Recent Developments in Financial Management and Economics
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3693-2683-1.ch006

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Abstract

As per Sustainable Development Goals Report 2022, “Achieve gender equality and empower all women and girls,” is placed as the fifth goal of that report. It describes Gender equality as not only a fundamental human right but a necessary foundation for a peaceful, prosperous, and sustainable world. There has been progress over the last decades, but the world is not on track to achieve gender equality by 2030. As stated by Sara Blakely, “When women fulfil their potential, magic happens.” At present, empowering women is the most effective instrument for development in India. As per the National Family and Health Survey, between 2019 and 2021, it was found that India has a population of more than a billion, and that there are more women than men in the country at a ratio of 1,020 women for every 1,000 men. Despite the fact that women make up the majority of the population in India, they are not in a position to express their values. This study aims to explore, women's empowerment in the dimensions of Financial with a special focus on Women Professionals in Kumbakonam. This research examines whether professionals really attain empowerment or not. Data is collected from women professionals in Kumbakonam by applying the strata sampling method and a comparative study was made between their present and previous position. That is before they become professionals and after becoming professionals. It analyzed the economic empowerment of women professionals and their economic empowerment was evaluated with the parameters of their asset position, debt, investment, freedom to spend money on their own, etc. Throughout the work comparative study reveals their current and previous position. Percentage analysis and passed to ResNet50 to obtain the result.

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