A Novel Model to Predict Sustainable Growth of Country based on Women Entrepreneurship using Deep Learning Principles

The dissemination of information and dissemination among individuals have converged on social media. The rise in prominence of social networking platforms has encouraged more individuals to disseminate news online. Thus, it aids in comprehending and anticipating user behaviour on social media platforms, which in turn aids business owners in better comprehending and enhancing the quality of their products and services. It also aids in their ability to comprehend the needs of their clientele. In any economy, the role of entrepreneurs is crucial. Those individuals possess the knowledge, drive, and initiative to bring novel products to market or services to the public, and they also know how to maximize the financial potential of their ideas. Traditions are firmly established in Indian society and the socioeconomic and psychological barriers that have been put up have traditionally favored men. This makes it difficult for educated Indian women to advance in their community. Indian women, although facing several social constraints, have always stood out and been celebrated for their accomplishments. Aspirations for a better life and more equality in education have altered the social structure of the nation of India and as a result, every Indian woman has had to make adjustments to her traditional ways of life. She has gone head-to-head with men and come out on top in every arena, including the corporate world. These ladies are bossy, convincing, and fearless leaders. In this study, we offer Predictive Learning for Women Business Empowerment (PLWBE), a unique deep learning based prediction model that can calculate a country’s growth rate as a function of the number of women who own their own businesses. The study’s findings add to our understanding of the difficulties faced by women business owners everywhere, and its metrics for measuring PLWBE are cross-validated against those from a traditional classification approach called Support Vector Machine (SVM) to demonstrate the scheme’s efficacy.