Volume 13 | Issue 2 |

 Abstract

In today's competitive world, the success of an organization depends not only on its performance, new technology, good order, and dynamic organization but also on a huge amount of human services. An important part of any organization is its employees. Banks are no exception. Satisfied, happy, and hardworking employees are the most valuable assets of every organization, including banks. The human resources of any organization are largely responsible for its efficiency and profitability. This research paper attempts to find out whether Compensation is important to employees. The aim of this study is to find some important factors that make employees satisfied with the Compensation policy. The purpose is to examine the impact to examine the relationship between compensation and employee satisfaction at HDFC Bank Hazaribag district. Understand what drives employee satisfaction in organizations. The research design used is explained in the scenario. In this study, data was collected through a questionnaire-based survey method. A sample of 125 participants was selected through simple random sampling. For employees, salaries motivate them, boost morale, and create goals. It makes employees want to take action. Most participants agreed that they were generally satisfied with the organization. Most survey respondents agree with the amount of money the organization pays them. They know a lot about their jobs, employee base pay, salary benefits, medical benefits, job security, job satisfaction, and good employees. When employees are paid appropriately and satisfied, business is better and morale is higher.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employee Satisfaction, Compensation, HDFC Bank, base pay, salary benefits.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There has been a growing interest in recent years to understand the factors that drive conscious consumer behavior, which refers to deliberate consideration of the social and environmental impact of buying choices. One influential factor is the consumer-brand relationship. This review aims to examine the literature on brand relationship's role in shaping conscious consumer behavior and identifying future research opportunities. 36 studies were selected from various databases after conducting a thorough search of academic literature. The review finds that brand relationships have a significant impact on conscious consumer behavior, with consumers who have a strong bond with a brand being more likely to make mindful purchasing decisions. However, the review also identified a number of gaps in the literature and suggested a number of directions for future research, including the need to better understand the mechanisms through which brand relationship influences mindful consumer behaviour and to examine the role of other variables, such as brand awareness and brand relevance, in this process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mindful Consumer, Consumer behaviour, Marketing, Brand relationship, Brand Equity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Velvet Beans,Parkinsonism,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research delves into integrating AR into education using Unity, focusing on creating interactive and immersive learning experiences. The project comprises four modules: AR try-ons for accessories, 3D product models, AR furniture placement, and VR exploration. These modules enhance user engagement by enabling virtual try-ons, detailed 3D product exploration, real-world furniture visualization, and immersive VR experiences. By leveraging technologies such as image recognition, object tracking, and real-time data, the system fosters efficient, personalized, and interactive learning and shopping experiences.

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 Keywords

Augmented Reality

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Unmanned aerial vehicles (UAVs), also known as Drone Technology, have rapidly advanced and found new uses in a wide range of industries, including Disaster Relief, delivery services, agriculture, and Environmental monitoring. Drones' growing range of applications has resulted in more efficient and affordable solutions for both public and private sectors as their technolog- ical capabilities continue to advance. The present state of drone Applications is reviewed, and their potential to revolutionize several industries in the future is examined. Peer reviewed pa- pers, industry reports, and case studies released between 2015 and 2024 were the main focus of a thorough assessment of the literature that was carried out. Based on industry sectors, use cases, and geographical areas, the review categorized drone applications. To ascertain their effect on the adaptability and scalability of drone usage, significant technological developments including enhanced battery life, sensors, and AI-based Navigation were also examined. In the review, im- portant uses for drones are highlighted, including the improvement of Precision Farming through aerial imaging in the agricultural sector and the inspection and maintenance of infrastructure through drone use. Because drones can deliver medical supplies to remote locations, the Health- care Industry has also profited from drone technology. Drones also help with tracking pollutants and protecting wildlife, which makes them essential for Environmental Monitoring. According to the report, advances in AI and machine learning have greatly enhanced autonomous navigation, enabling drone missions to cover more ground in challenging-to-reach locations. Utilized across a wide range of businesses, drones have shown themselves to be a game-changing technology. Further realizing drones' promise will require breakthroughs in regulations and ongoing inno- vation in drone hardware and software. Yet, in order to properly incorporate drones into daily operations, obstacles including Security Concerns, privacy concerns, and airspace laws must be resolved. Improved safety procedures, more Drone Autonomy, and unexplored uses in industries like telecommunications and urban planning should be the main goals of future study.

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 Keywords

AI-based Navigation, Precision Farming, Healthcare Industry, Environmental Monitoring, Security Autonomy. Concerns, Drone

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The integration of blockchain technology into health management systems offers a secure, transparent, and efficient framework for managing healthcare data. Blockchain ensures the immutability and traceability of medical records, addressing issues of data tampering and unauthorized access. Its decentralized nature empowers patients with ownership and control over their medical information, enabling seamless and secure sharing across healthcare providers. Additionally, blockchain facilitates interoperability, reduces administrative overhead, and minimizes fraud through smart contracts and automated verification processes. This innovative approach not only enhances data security and privacy but also supports the implementation of personalized care of patient which ultimately leading to improved healthcare delivery and outcomes. The proposed system explores the potential of blockchain in addressing the challenges of existing health management systems while discussing its implications, challenges, and future directions.

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 Keywords

Blockchain, Interoperability, Automated, Security, Privacy.

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With the rapid growth of information on social media and news platforms, the spread of fake news has become a significant concern. Fake news can manipulate public opinion, disrupt social order, and negatively impact decision-making. This paper explores the application of Natural Language Processing (NLP) techniques for detecting fake news, focusing on the BERT (Bidirectional Encoder Representations from Transformers) algorithm. BERT, a state-of-the-art pre-trained language model, enables deep understanding of the context within text by processing words in relation to all other words in a sentence. We propose a framework that leverages BERT's powerful contextual embeddings for classifying news articles as either real or fake. The model is fine-tuned on a large dataset of labeled news articles, which enhances its ability to distinguish between truthful and deceptive content. Results show that BERT-based models outperform traditional machine learning methods in terms of accuracy, precision, and recall. This study highlights the potential of using BERT in fake news detection and offers insights into how NLP can be used to combat misinformation in the digital age.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NLP, Fake News Detection, Social Media

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Employee welfare policies are crucial for enhancing productivity within organizations, particularly in demanding industries like coal mining, as exemplified by Singareni Collieries Company Limited (SCCL). This abstract explores the impact of employee welfare measures on productivity at SCCL, focusing on key areas like healthcare, housing, education, and recreation. It investigates how these initiatives influence employee morale, motivation, and overall well-being, ultimately affecting productivity. The abstract argues that comprehensive welfare programs contribute to a positive work environment, leading to increased efficiency, reduced absenteeism, and improved quality of work. It also examines the correlation between employee satisfaction and key productivity indicators within SCCL. Furthermore, the abstract acknowledges the challenges and opportunities in optimizing these policies to maximize their impact in the ever-evolving coal mining sector. By prioritizing employee welfare, SCCL can foster a motivated workforce, attract and retain skilled employees, and achieve sustainable productivity gains

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employee welfare, productivity, SCCL, coal mining, Safety, Security, employee satisfaction, work environment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Modern game design relies heavily on the development of intelligent and engaging enemy AI, especially in 2D games, where enemy behavior largely influences player experience. The traditional techniques used in AI scripted behavior and Finite State Machines are part of a top-down approach and result in a completely predictable, thus easily manageable, enemy action. However, there is usually no adaption to dynamic player behavior in these kinds of approaches, hence degrading gameplay depth and replay values greatly. On the other hand, adaptive AI techniques, such as genetic algorithms following the bottom-up approach, promise more responsive and challenging behaviors from enemies but can also be complicated and resource-intensive in their implementation. This research investigates the practical implications, performance differences, and impacts on player experience between top-down and bottom-up AI approaches. In this study, a 2D game prototype with enemies controlled by both AI techniques is developed in order to systematically evaluate and compare the effectiveness of these methods. The aim is to provide insights into the strengths and limitations of each AI approach, hence guiding game developers in the selection of the most appropriate method for different gaming contexts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Game AI, top-down AI, bottom-up AI, finite state machines (FSM), genetic algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present work is an attempt to understand the concept of mind and body from the standpoint of Indian Philosophy. All the Indian schools of philosophy tried to know the reality and to understand the secret of life through the inner knowlwdge of human being. According to Vedic literature, human body is composed of five elements, which are earth, water, fire, air, and ether. In the Upanishad, human body constituted energy body , physical body and soul, which link the human body with the life in the Universe. Human body divided into three categories, Gross body, Subtle body and Causal body. On the other hand, almost all the the Indian schools of philosophy accepted that mind is an inner sense organ of the body, which is master or controller of other sense organ. In Indian Philosophy, mind is considered an instrument of the soul. It is considered an inner sense organ or antahkaran.it is also related to the body, which is outer instrument or five sense organs and five action organs. It is also an instrument of knowlwdge and helps in knowing consciousness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

mind, body, gross body, sublte body, causal body, antahkarana, citta, ahamkara.

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Creative Commons Attribution 4.0 and The Open Definition