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.

A questionnaire evaluating subjective level of work anxiety as well as physical wellness through the earlier years was accomplished through 400 women in Karnataka. Overall health was split up right into two types: physical as well as other psychological problems. Samples, coordinated for age as well as marital status, were determined: women in high-paying status who are married (N = 190) and women in low-paying status and as well are single (N = 210). Participants responded a Post-Covid-19 survey (PC19). The hypothesis of a positive association amongst job stress as well as marital status was terminated. The forecasted association organized for psychological distress. Subjective anxiety, PC19 score, as well as life fulfillment consisted of 42% of the deviation and job anxiety consisted of 58% of the deviation. Consequently, PC19 a pertaining to job anxiety as well as mental distress, their efforts was impartial of each other. The variants of stress accomplished in professional functioning as an educational professors, teachers, managerial, as well as , clerical jobs are observed much higher that includes psychological health related problems which were led to medical challenges just like diabetes, heart diseases as well as , thyroid dysfunction.