Journal Issues

Abstract

 The Government of India and the Reserve Bank of India have initiated efforts to enhance banking services, including the expansion of rural bank branches, the implementation of the banking correspondent model, and the promotion of financial literacy. In a diverse nation like India, financial literacy is crucial for the success of this significant social initiative aimed at achieving financial inclusion. An effective strategy encompasses three key components: financial education, financial inclusion, and financial stability. While financial inclusion addresses the supply side by ensuring access to various financial services, financial education stimulates demand by raising awareness among individuals about the advantages and necessities of the financial services provided by banks and other institutions. Together, these strategies contribute to improved financial stability. This paper aims to examine the level of financial literacy among college students in Poonamallee Taluk, Kanchipuram District, Tamil Nadu, in detail.

Abstract 

As a businessman, it is very important for an organization to know your audience well, to know the current trend in the market, to analyze the future using historical data, to know how to make business decisions in an effective way, to use current technology which is very much needed for the survival of the business among their competitors and all these ultimately should lead to satisfaction of the customers and make them buy their products again and again without any diversion. So, every time businessmen need to be on the top of the rock to see every nook and corner and know the current trend in the market and make changes accordingly by not bogged down in conventional morality. To know all the aforesaid factors it is very important for a business man to have a business analyst in a company and get the help of them to analyze the historical data. To help the Business analyst AI plays a vital role for the prediction purpose. AI is an emerging field in all sectors especially for data analysis to predict the future here in his study machine learning is used which is said as the subset of AI. The aim of the paper is to make the job of the businessman easier. For this in this paper we have taken initiative to find out the future growth and scope in the field of E-commerce. To explain this clearly we have taken secondary data on E-Commerce market value with following factors e-commerce revenue and online shoppers. And tried to find out the prediction for the years 2024 to 2026 using python. And the research is going to enhance the accuracy on the prediction of Market value factors.