A Machine Learning-Based Analysis On Impact Of Digital Financial Inclusion And Innovative Financial Products Offered By Private Bank Sector Among The Women In Ruralin Thanjavur District”

Abstract

Financial inclusion fosters equitable economic expansion and has the potential to contribute to several sustainable development objectives. The use of digital technology and the availability of cutting-edge financial services provided by banks may provide opportunities to alleviate some of the barriers faced by women residing in rural areas when it comes to using and accessing digital services. This research utilises a machine learning methodology to examine the degrees of digital financial inclusion and the variety of innovative financial products provided by the private banking industry to women living in rural parts of Thanjavur District. Given the growing importance of financial inclusion in driving economic growth, it is imperative to comprehend the distinct requirements and obstacles encountered by women residing in rural areas. The study uses sophisticated Random Forest (RF) machine-learning algorithms to analyse and understand data collected from many sources, including demographic data, transaction records, and user habits.The main goals of this inquiry are two-fold: Firstly, the objective is to evaluate the present condition of digital financial inclusion among rural women in Thanjavur District. This assessment will consider criteria such as their access to banking services, level of digital literacy, and use of mobile financial apps. Furthermore, the research seeks to assess the array of cutting-edge financial products provided by private banks, scrutinizing their efficacy in meeting the distinct financial needs of women residing in rural regions.