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Abstract-This research paper explores the relationship between Artificial Intelligence (AI) and the human workforce, with a particular focus on the question of whether AI will replace human workers. The research is based on a thorough analysis of existing literature, as well as original insights and arguments. The key findings of the research are as follows:
• AI is designed to perform repetitive, mundane, and data-intensive tasks, freeing human workers to focus on more complex, creative, and high-value tasks.
• AI systems lack human intuition, empathy, and critical thinking skills, and are therefore unlikely to replace human workers in their entirety.
• Human workers bring a unique set of skills, experiences, and perspectives to the workplace, which are essential for innovation, problem-solving, and decision-making.
• AI will augment human capabilities, free workers from mundane tasks, and create new job opportunities, but it will not replace the human workforce.
The research methodology involved a thorough review of existing literature on the topic, as well as original analysis and argumentation. Key sources included academic articles, industry reports, and expert opinions. The research findings suggest that while AI will certainly change the nature of work, it will not replace the human workforce. Instead, AI will augment human capabilities, free workers from mundane tasks, and create new job opportunities. In conclusion, this research provides a comprehensive and nuanced analysis of the relationship between AI and the human workforce. By prioritizing human- centered design and ensuring that AI systems are transparent, explainable, and accountable, we can create a future where AI enhances human capabilities, rather than replacing them.

Abstract-In today’s rapidly evolving landscape, numerous techniques have emerged to improve voting systems, focusing on individual authentication and reducing malpractices. Recognizing each voter remains challenging, but advancements like a controller-based electronic voting machine using the R307 Fingerprint sensor for biometric authentication offer solutions. The proposed digital biometric-based EVM provides an efficient method for casting votes, implemented on an FPGA board using Verilog software on Xilinx ISE. This system ensures unique voter authentication and streamlines the voting process, demonstrating its capability to verify identities accurately and enhance the security of elections. As a result, it offers a reliable and secure solution for modern electoral processes. As a result, it offers a reliable and secure solution for modern electoral processes, improving voter confidence and reducing fraud. The implementation showcases a robust approach to addressing the shortcomings of traditional EVMs while maintaining the integrity of the electoral system.

Abstract-This paper proposes an enhanced architecture to improve the accuracy of BERT models fine-tuned on the Stanford Question Answering Dataset (SQuAD). The presented approach introduces a Token Transformation Model designed to refine embedding, making them more effective for question answering tasks. Initially, the question and context inputs are tokenized using a BERT-large tokenizer. These tokens are then processed through the Token Transformation Model, which enhances the quality and relevance of the embedding. The refined embedding are subsequently utilized by a TinyBERT model that has been fine-tuned on SQuAD with knowledge distillation (KD) techniques. The proposed method aims to leverage the strengths of large-scale tokenization and advanced embedding transformations to achieve higher accuracy in question answering scenarios, offering a more precise and efficient solution. Experimental results demonstrate the effectiveness of this architecture in improving the performance of BERT models on SQuAD.

Abstract-This study investigates the impact of social media on the mental health of young adults aged 18-25. Utilizing a qualitative research approach, the study explores how social media usage influences both positive and negative mental health outcomes. Through in-depth interviews and thematic analysis, key factors such as social connection, support, social comparison, cyber bullying, and addiction were identified. The findings reveal a dual impact: while social media can foster a sense of community and provide access to mental health resources, it also contributes to anxiety, depression, and low self-esteem when usage is excessive or driven by negative comparisons. The study underscores the importance of promoting balanced and mindful social media use among young adults to enhance positive outcomes and mitigate adverse effects. Recommendations for healthier social media practices and directions for future research are also discussed.

Abstract-The paper presents a novel functional planning and design aspect of a sustainable commercial multi storeyed building under COVID19 situation in a tropical country, India. India, the second largest populous and democratic country in the world has been affected by three consecutive waves of COVID 19 pandemic. Construction sector, the second largest industry of the country is the most seriously affected one. Under the situation closure and job scarcity for construction people has resulted in a recession in the country’s economy and danger to social survival. The functional planning of the office building of a medium sized construction firm is executed following minimum office space requirements for the officers of the engineering department per Govt. of India and modified per World Health Organization (WHO)’s regulation on COVID19 propagation. A specific example on the functional planning for commercial office building based on National Building Code (NBC) of India and Chennai Corporation building rules have been presented as a useful addition to literature on disaster resilience of a populated large city in a tropical country like India. Analyses and designs are executed by finite element software package for different load cases including seismic loading to make it useful for professional applications. Finally, the building is made sustainable per Sustainable Development Goal (SDG) Policy of the United Nations using energy efficient materials for power supply, for construction of non-load bearing members and green building concepts. These concepts are found to be useful for medium sized construction companies through making their office building functional during and after the pandemic situation in India and other countries like India also thereby mitigating the recession in economy of construction sector.

Abstract-In this paper examines the trend and decomposition analysis of apple production in Jammu and Kashmir in India. Apple fruits production in the world stood at around 2.4 million metric tons in the year 2022-23, making India the fifth largest producer. In India level, the Area, 321.90 in thousand hectares in the beginning year, nosedived to 312.60 in thousand hectares during the year 2020-21. It is exhibited a negative trend upto the end year. At the same time, the growth was not at notable level to area for apple fruits in India over the period. (CAGR = -0.28, t = – 0.59, P < 0.10). On the other hand, it is understood from the table that the production and productivity of the apple fruits in India with average of 2326.94 in thousand million tonnes and 7.57 million tonnes / hectares have reached to 2275.80 in thousand million tonnes and 7.30 in million tonnes / hectares after testing at as high as 2814.30 thousand million tonnes and 9.10 million tonnes / hectares in 2019-20 from 2203.40 thousand million tonnes and 6.80 million tonnes / hectares in 2011-12 at significant compound rate of 1.69 per cent (CAGR = 1.69, t = 1.58, P < 0.10) and 2.04 per cent (CAGR = 2.04, t = 1.55, P < 0.10). From the inferences of these results, it is found that negative growth in area of apple fruits, but notable growth in production and productivity of apple fruits in India level. Apple production in the Jammu and Kashmir region experienced substantial growth, with a notable upward trend during the period under consideration.

Abstract-In order to ensure the safety of structures against earthquakes, it is stated that a structural system that takes into account nonlinear behavior should be installed. This is an approach mandated by TBDY2018, especially for tall buildings. Nonlinear behavior is important to ensure that structures behave realistically under earthquakes. This requires a detailed analysis of the structures to account for the elongation and shortening of the material fibers during an earthquake. These analyses are based on nonlinear solutions in terms of materials and geometry, taking into account second-order effects. Although nonlinear analysis is essential for realistic prediction of earthquake effects in tall buildings, comprehensive studies applying advanced nonlinear analysis techniques using Open Sees software to a large set of carefully selected earthquake records are lacking. Evaluation of the seismic performance of tall buildings in specific earthquake zones is not available. This study provides insights that previous studies have made more limited use of by uniquely combining advanced nonlinear analysis techniques in Open Sees with a total of 22 carefully selected earthquake records to provide a more accurate and realistic assessment of the performance of tall buildings in specific seismic zones by averaging these 22 earthquake records. The aim of this approach is to prevent loss of life and property by minimizing the destructive effects of earthquakes. Consideration of nonlinear behavior allows us to more realistically assess how structures will respond under real earthquakes. Thus, building design and assessment can be made safer.