Influencing Factors Of Recruitment And Selection Process Through Artificial Intelligence- Multiple Regression Analysis

The utilization of artificial intelligence (AI) in the recruitment and selection processes within the Information Technology (IT) industrieshas become increasingly prevalent. This trend is driven by the recognition of the potential benefits that AI can offer in streamliningthese processes, making them more efficient, and enhancing decisionmaking. The researcher has found the influencing factors ofrecruitment and selection processes prevailed in the Information Technology (IT) industries in Chennai. The primary data collectedfrom 400 respondents based on simple random sampling method. The objective of this study is to find the factors influencing the artificial intelligence applications in recruitment and selection practices in IT Companies in Chennai. The authors have concluded that the AI applications in recruitment and selection practices in IT companies in Chennai are driven by the need for efficiency, objectivity, and inclusivity. Smart analysis and task automation enhance the recruitment process, while data-based decision-making and a focus on diversity and inclusion contribute to fair and effective candidate selection

Impact Of Artificial Intelligence In Recruitment And Selection Practices In Information Technology (It) Companies In Chennai – Principal Component Analysis

This study investigates the transformative impact of artificial intelligence (AI) on recruitment and selection practices within Information Technology (IT) companies in Chennai. Examining relevant literature, researchers, including Manthena, Choudhary,Sharma, Malik, Hemalatha, Vedapradha, Rajesh, and Soni, advocate for the strategic integration of AI as a valuable tool in optimizinghuman resource management. Utilizing Principal Component Analysis (PCA), the study identifies nuanced insights into AI's influence on recruitment and selection. In recruitment, smart analysis and task automation play a prominent role, emphasizing positive contributions from employee referrals and data aggregation. Selection practices reveal higher impacts in internal mobility, automating tasks, and databased decision-making. The sustained positivity across dimensions underscores the constructive roles of key variables, urging responsible AI adoption for continued enhancement in human resource practices

Healthcare Monitoring Systems using Li-Fi Networks

Constant monitoring of patient's health condition in hospital is either manual or Wi-Fi based system. Wi-Fi based system is became slow in speed due to exponentially increased scalability. In this scenario, Li-Fi finds the places wherever Wi-Fi is applicable with additional features of high speed data network. Apart from the speed factor, Li-Fi is more suitable in hospital application for monitoring the patents' conditions without frequency interference with human body. This paper proposes an application of Li-Fi network in hospital for monitoring the patients' conditions such as temperature, pressure, heartbeat, glucose level and respiratory conditions by using respective sensors. The collected data from the sensors is transmitted to the sink and further these data are processed using microcontroller and sent to display unit in the form of graphs or charts. Based on the concept of visible light communication, a prototype model is built with the PIC microcontroller and basic sensors as peripherals and tested it's working. Thus the application of Li-Fi as a health monitoring system demonstrated experimentally.   Â