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Voting system plays an important role in any democratic country. Vote means to elect the best political pioneer. In India, currently two types of voting systems are depleted, which are secret Ballet paper and Electronic Voting Machines(EVM), but both of them have severalrestrains. The current voting system is jeopardizing, voters visits poolingbooth and stand in long line up to cast their votes, because of which there are possibilities that many people miss their chance of voting. Additionally, social gathering isn't much preferred in this COVID-19 situation. Voters who are ineligible may also use fraudulent methods to cast their ballots, which may result in hardship. Therefore, in this project, we suggest a voting system that is efficient and has three layers of security. The verification of the voter's unique identification number (UID) comes first, then the verification of their election identification number (EID), and finally the verification of their face, which is the highest level of security. [ABSTRACT FROM AUTHOR]

This research paper attempts to analyze how word of mouth affects the student's B school decision-making processes who wish to pursue higher education in business schools. Research data was collected by survey method with the help of questionnaire which was distributed to students and aspirants of different B schools across India. For data analysis statistical techniques like descriptive analysis & factor analysis was used. Only a few studies, particularly in the Indian context, have been conducted in this field. Implications of the study: Research provides insights regarding how students research and shortlist particular B-Schools. Institutions can form their strategy regarding online presence of college. [ABSTRACT FROM AUTHOR]

Covid-19 pandemic has wreaked havoc worldwide in recent months, due to which many countries including India went under lockdown causing a decrease in customer engagement. Many companies have turned to AI tools such as chatbots to improve customer experience by handling customer queries to cope with this situation. Nowadays, it has become imperative for businesses to enhance their customer experience by adopting new technologies such as chatbots that help companies answer customers' simple queries. A good customer experience ensures a positive brand image and customer loyalty. However, there is currently a lack of knowledge regarding the impacts of chatbots on customer experience during covid-19. Objective: The objective of this Research paper is to investigate the impacts of chatbots on customer experience during Covid 19 in India. Research Methodology: Primary data was collected from 104 respondents using a structured questionnaire to gather information regarding customer experience. Data were analyzed using suitable statistical techniques. Implications of the study: The research conclusion was to identify the impacts of chatbots on customer experience and help organizations to tailor effective and efficient chatbots for their businesses to maximize customer experience and satisfaction. Originality: Very few studies have been done in this area to help analyze how companies are trying to enhance customer experience during covid-19 in India by adopting technological means such as Chatbots. This research is to understand the customer perspective towards the perceived experience of chatbots during the covid pandemic in India. [ABSTRACT FROM AUTHOR]