Development of autoshg machine learning algorithm for prediction and business porting

Abstract

Computational intelligence is a domain of research for a decade. The applied research provides a big way for designing and implementing the smart systems in terms of predictive analysis, automatic execution, etc. As the covid-19 pandemic given birth to many necessities, there is one segment of society is struggling to lift up their earnings. Hence, this paper presents the automation in women's self-help groups (SHGs) businesses. Paper provides a new AutoSHG machine learning algorithm which can be used for product and profit prediction, decision-making and also taking SHGs to new small E-Commerce platform. Many predictive analysis algorithms are discussed and research gaps are identified. The one hurdle for implementation of algorithm is the dataset is imbalanced in the case of SHGs and needs to be a re-generative dataset development. The proposed algorithm is very useful for world-wide SHGs society and instead of physical product prediction; this can be suitable for stepping into Pico-e-commerce concept.