Volume 12 | Issue 4 |

 Abstract

A Comprehensive Interview Platform for Streamlined Technical Recruitment This paper presents a novel interview platform designed to enhance the technical recruitment process. Existing video conferencing tools used for interviews lack functionalities crucial for effective candidate evaluation. This platform addresses this gap by integrating a suite of features specifically tailored for software development interviews. The core functionality includes a collaborative code editor supporting multiple programming languages. This allows candidates to showcase their coding skills in familiar environments and facilitates real-time interaction for code review, debugging, and problem-solving with interviewers. Furthermore, the platform incorporates an interactive whiteboard powered by Socket.IO. This enables real-time collaboration where both parties can visually represent ideas and concepts, fostering clearer communication and a more engaging interview experience. To provide additional flexibility in the interview structure, a chatbot functionality is implemented. This chatbot can be programmed to deliver pre-defined questions, handle basic queries, or even administer automated coding challenges. This frees up the interviewer's time for in-depth technical discussions and candidate assessment. Finally, seamless face-to-face interaction is facilitated through WebRTC technology, enabling video and audio communication for a more human interview experience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Interview, technical coding, video conferencing, compiler, code editor ,facial recognition, react , express-js, mongodb ,nodejs

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's higher education system is the world's third-largest, following the US and China. Digital technology has improved education quality by supporting computer-assisted learning, allowing teachers to assist students in exploring relevant resources. The Indian government has implemented initiatives like Swayam, Swayam Prabha, NDLI, NAD, and E-PG Pathsala, which have drastically changed the country's higher education system. However, some barriers have hindered the successful implementation of digital programs and schemes. This paper uses secondary sources from websites and research papers to explore the major opportunities and challenges in the digitalization of India's higher education system. The paper aims to provide a comprehensive understanding of the challenges and opportunities in the digitalization process.

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 Keywords

Digitalization, Higher Education, Swayam, Swayam Prabha, NDLI , NAD

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diversity is important because it contributes a wide range of experiences, ideas, backgrounds, and perspectives to the conversation, which improves decision-making. These days, executives are concentrating on implementing inclusion policies and appreciating the benefits of a diverse workforce. Maintaining equal opportunity and other fundamental diversity ideals is the foundation of inclusivity; but it also focuses on treating each individual member of the organization as an individual and giving them access to the chances they deserve. Inclusion and diversity are great assets for any business pursuing sustainability. They facilitate better decision-making, increase productivity and efficiency. The need to live harmoniously with nature has become vital for the modern society. Thus, sustainability becomes pivotal in strategizing the operational procedures of an organisation.As businesses are considered agents of environmental, social and economic changes, the managers as leaders need to understand the repercussions and bring about necessary practices to cope with such changes. In this context, it is pertinent to examine how diversity and inclusion can contribute meaningfully towards a sustainable growth. Purpose - The purpose of this paper is to find out the functioning of work force diversity and inclusion in Indian IT companies as a tool to achieve Sustainable development. Methodologies of the Study -Data for this paper will be collected from both primary and secondary sources. Secondary data includes brochures, newsletters and reports which are used for workforce diversity practices. Primary data will be collected from the employees of IT companies. Relevant statistical tool will be applied to draw a meaningful conclusion. Managerial implication- The findings of the study may prove to be relevant for managers of organisations for practising workforce diversity to have sustainable development

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 Keywords

workforce diversity, sustainable development, inclusion

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This study investigates the return on investment (ROI) within the banking and automobile industries using historical data analysis. The primary objective is to discern patterns, trends, and influential factors affecting ROI in these sectors over a specified time period. Through quantitative analysis techniques, including financial ratio analysis and trend analysis, the study evaluates the profitability and efficiency of investments in both industries. Moreover, it explores the impact of external variables such as economic cycles, regulatory changes, and technological advancements on ROI dynamics within the banking and automobile sectors. The insights derived from this research contribute to a deeper understanding of investment performance in these industries and provide valuable implications for investors, policymakers, and industry stakeholders

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Creative Commons Attribution 4.0 and The Open Definition

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historical data ,Stock Analysis, Forecasting, stock price,

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the perception of the public towards smart city development, focusing on Coimbatore city as a case study. As urban areas globally embrace technological advancements to address various challenges, understanding the perspectives of citizens is crucial for the successful implementation of smart city initiatives. The research employs a mixed-methods approach, combining surveys and qualitative interviews to gather comprehensive insights into public perception. The survey gathers quantitative data on demographics, awareness of smart city concepts, perceived benefits, concerns, and expectations regarding smart city development. Concurrently, qualitative surveys delve deeper into the perspectives, capturing qualitative data on attitudes, experiences, and aspirations related to smart city initiatives. Findings reveal diverse perceptions among Coimbatore residents regarding smart city development. While some express enthusiasm about the potential benefits such as improved infrastructure, enhanced service delivery, and better quality of life apprehension regarding issues such as data privacy, digital exclusion, and governance transparency. Furthermore, the study identifies varying levels of awareness and understanding of smart city concepts, influenced by factors such as education, occupation, and socioeconomic status. The research highlights the importance of citizen engagement and inclusive decision-making processes in smart city development. It underscores the need for effective communication strategies to bridge the gap between policymakers, technologists, and the public, fostering greater awareness, trust, and participation in shaping the future of urban environments. Moreover, the study emphasizes the significance of addressing concerns related to privacy, security, and equity to ensure the ethical and responsible implementation of smart city technologies.

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 Keywords

Smart city development, public perception, Coimbatore city, Infrastructure improvement, Data privacy, Quality of life, Awareness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pharmacovigilance (PV) plays a crucial role in monitoring and ensuring the safety of pharmaceutical products by detecting, assessing, understanding, and preventing adverse drug reactions (ADRs) and other drug-related problems. With the ever-increasing volume of medication-related data, there is a growing need for efficient tools to analyze and process this information. Artificial intelligence (AI) and machine learning (ML) have emerged as promising technologies to enhance PV efforts. This article explores the integration of AI and ML in pharmacovigilance, discussing their potential applications, benefits, and implications. Various AI tools and databases utilized in PV activities are outlined, along with the role of automation in streamlining PV processes. The article also delves into the types of AI and machine learning, including supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and deep learning, highlighting their relevance in pharmacovigilance. Furthermore, the article discusses the importance of AI in individual case safety report (ICSR) processing and its role in improving data quality, accuracy, and cycle times. Lastly, it emphasizes the potential of AI and ML to revolutionize drug safety monitoring, enhance data analysis, and optimize pharmacovigilance processes for the benefit of public health.

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Creative Commons Attribution 4.0 and The Open Definition

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Pharmacovigilance, Artificial Intelligence, Adverse drug reactions, Individual case safety reports, Machine Learning, Deep Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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The aim of this review is to describe about therapeutic use and adverse effects of Risperidone- induced respiratory depression in a neonate through breast milk. Strategies are discussed to limit infant exposure to a medication while effectively treating the nursing mother. Risperidone is commonly used in postnatal mothers for depression and psychotic symptoms in spite of little data on its safety profile in neonates. It is previously reported that 6 mg/day can be used in mothers without having any untoward in breastfed neonates. Excretion of risperidone is dependent on the enzyme CYP2D6 whose activity varies as per individual phenotype. Maximum therapeutic levels are achieved at 2hr of administration of the drug. Risperidone works by inhibiting dopaminergic neurotransmission. This medication increase prolactin in women may result in unwanted breast milk, stopped menstrual cycle or difficulty becoming pregnant. When psychotropic medication is used during breast-feeding, it is strongly recommended that the infant's pediatrician be involved in monitoring the infant.

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Antidepressant; Antipsychotic; Respiratory depressant; Case study; Side effects

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Creative Commons Attribution 4.0 and The Open Definition

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End-of-life care is an progressively important point due to propels in biomedical investigate and the foundation of modern disciplines in evidence-based pharmaceutical and bioethics. Killing and helped suicide are two terms broadly talked about in pharmaceutical, which cause disappointment on numerous events and cause alleviation on others. The advancement of these terms and the occasions related with their think about have permitted the assessment of cases that have set up valuable definitions for the legitimate control of palliative care and open arrangements in the distinctive wellbeing frameworks. Be that as it may, there are still numerous viewpoints to be illustrated and characterized. Based on the over, this survey pointed to compile pertinent authentic viewpoints on the advancement of killing and helped suicide, which will permit understanding the utilize and investigate of these terms.

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Creative Commons Attribution 4.0 and The Open Definition

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Helped Suicide, Euthanasia, Bioethical Issues, History Of Medicine

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Creative Commons Attribution 4.0 and The Open Definition

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The concept of home automation is an on growing topic in this century and it plays a vital role in our daily lives as individuals, as innovators and also as a collective society. Home automation significantly reduces the need for human labor, saves time, and minimizes the effort required for daily tasks. This research aims to explore the challenges and potential of home automation. With the increasing demand for enhanced home security systems, there is a need for intuitive and efficient control mechanisms. Modern smart homes integrate automation to ensure not only security but also energy efficiency, especially in the absence of occupants. The scope of home automation varies from controlling a single device to managing an entire household seamlessly. While implementing such a system poses various challenges, overcoming them unlocks numerous possibilities, making it one of the most valuable innovations in our technology-driven era. This paper proposes a voice recognition-based model to enhance the user experience in managing smart homes. The topic was selected for its promising future prospects and continuous technological advancements.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Home automation, voice recognition, smart homes

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Hemicyanines are generally heterocyclic N-atom at one end and conjugated methine chain. The heterocyclic N-atom are tertiary nature having some positive charge. The heterocyclic part such as pyridine ,indole, quinoline and their derivatives with proper substitution gives new Hemicyanines are characterised by elemental analysis, IR,UV spectra. This invention relates to synthesis and photosensitivity of Hemicyanines dye which belongs to the synthesis of a functional dyes and the application of the functional dye as a fluorescent dye. These Hemicyanines dyes are widely used as powerful photo sensitizer and also used for optical information recording media, tools for laser technology, solar energy devices, dying agent for silk ,cotton, paper,fabric and synthetic fibre etc.

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Study of Photosensitive Properties of Hemicyanines Dyes Aanand Kumar Mishra and Prof. (Dr)K.S.Ojha

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Creative Commons Attribution 4.0 and The Open Definition