Volume 12 | Issue 4 |

 Abstract

The Ratnagiri area of Maharashtra India is situated in the coastal region of Konkan in the western part of India and it is popular for its unspoiled beaches, historic buildings as well as culture. This research recommends creating a comprehensive website on tourism that makes use of up to date technologies in order to promote tourism in Ratnagiri. The site will have features such as chatbot, car rental services, search for hidden gems, hotels straight map and zoom functionality, 360-degree views, detailed location maps and a solid rating system. In addition to this, the idea behind the proposed website is also to ensure community engagement by allowing users to share their experiences and recommendations through user generated content. With elements such as user reviews, ratings and comments incorporated into it, this website aims at establishing an active web community that revolves around tourism at Ratnagiri. Furthermore, being multilingual the site targets various ethnic groups and has an intuitive admin dashboard which facilitates efficient management of business listings among other contents like blogs. For database management purposes, MongoDB was used; React developed its front end while Node.js catalyzed backend scripting with Visual Studio Code serving as its principal development environment stack used herein throughout this project.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tourism website development, Ratnagiri, Planning phase, Design phase, Implementation phase, Testing phase, Deployment phase, Maintenance and optimization, User experience, Sustainable tourism practices, Community participation, Frontend and backend development, React, Node.js, MongoDB, User acceptance testing, Performance optimization, Security measures, Stakeholder engagement, Continuous improvement.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is the significance of small businesses to any economy from the perspective of employment and contribution to the national gross domestic product. This study investigates the factors driving businesses towards adopting digital payment systems in Vadodara City, India. The objective of the study is to identify and analyse the main factors influencing Vadodara city businesses' decisions about implementing digital payment systems. The study examines how Vadodara city companies are impacted by the cost-effectiveness of digital payment services. The term "cost-effectiveness" refers to various elements, including transaction costs, operational effectiveness, and total financial gains from using digital payment systems. Businesses must comprehend the cost-effectiveness factor to evaluate the financial effects of switching to digital payment methods.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Payment, Businesses Fintech , cost effectiveness

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Creative Commons Attribution 4.0 and The Open Definition

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In the modern era of digital marketing, personalized campaigns have emerged as a crucial strategy for businesses to engage with their target audience effectively. The jewellery industry, known for its luxury and uniqueness, has also embraced this trend to tailor marketing efforts to individual preferences. This paper explores the role of Artificial Intelligence (AI) in facilitating personalized marketing campaigns within the jewellery sector. Through an analysis of AI technologies, data utilization, consumer behavior insights, and ethical considerations, this paper provides insights into the transformative impact of AI on the jewellery marketing landscape.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The Role of AI in Personalized Marketing Campaigns in the Jewellery Industry

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Educational institutions are an important part of our lives and play an important role in the growth and development of any country. For this purpose, identifying successful students is of great importance. We demand reports on student performance. Student Learning Indicators are a comprehensive program designed to measure and evaluate student learning and achievement in schools. The system uses a variety of data, including grades, attendance records, and test scores, to obtain information about a student's learning. Student performance reports help teachers and administrators identify trends and patterns in student performance by analysing data and insights. It not only shows where students are doing well, but also identifies areas that can be improved. This tool is a valuable resource for teachers to make data-driven decisions, implement intervention plans, and support student success. Through the use of technology and data analysis, student performance indicators help improve overall learning and allow schools to develop educational strategies to meet each student's unique needs. This content demonstrates the importance and effectiveness of this system in promoting quality education and supporting student development.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

academic performance, academic performance indicators, Data Analysis, Student Monitoring, overall performance indicator, students details.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sustainability is an epicenter of concern for the world economy at present. Figures reveal that Green FDI, or foreign investment in ecofriendly avenues is among the largest categories of FDI for developed segment of the economy whereas the developing segment which also constitutes Indian Economy is currently moving towards sustainability. Thus, taking into consideration the challenges faced and factors positively affecting green economy growth pertaining to Indian Economy, this study seeks to draw an Ecological Sustainability nexus by studying the interrelationship between the variables; Foreign Direct Investment (FDI), Renewable Energy Consumption (REC) and Trade Openness (TO) with Ecological Sustainability (ES), i.e., Carbon Emissions. This analytical study makes use of Ordinary Least Square (OLS) regression, the study found an insignificant positive relationship between FDI and Ecological Sustainability. However, it has been found that a significant negative relationship exists between the REC and ES during the study period.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Foreign Direct Investment, Renewable Energy, Indian Economy, sustainability, sustainable development

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This abstract explores the concept of judicial activism, examining its definition, characteristics, and implications within the realm of law and governance. Judicial activism refers to the proactive role of courts in shaping and interpreting laws, often surpassing traditional judicial bounds. This phenomenon has sparked debates regarding the balance of power among branches of government, the role of courts in democracy, and the limits of judicial discretion. By analysing various perspectives and case studies, this abstract aims to shed light on the complexities and controversies surrounding judicial activism, providing insight into its significance on temporary legal systems.

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JUDICIAL ACTIVISM: An Overview

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 Abstract

To observe association of depression and different deha prakriti , 80 post covid patients were included in this study as per inclusion and exclusion criteria , Prakriti assessment of Patients was done by using standard M.U.H.S Prakriti parikshan proforma. The study depended on self detailed information from a survey (clinical review) about the predominance of the Corona virus Pandemic's mental impacts in different deha prakritis (physical constitutions). Due to COVID-19, the prevalence of depression has risen to 25%, which is approximately 7 times higher, highlighting the significant impact of the pandemic on mental health. This underscores the importance of integrating mental health into international and national public health programs. Therefore, it's crucial to focus on both the physical and mental health of patients. Evaluation should include the use of depression measuring scales, and appropriate guidance should be provided to prevent future mental disorders.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Post-COVID, Depression , Deha Prakriti.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: People who have been forced to leave their traditional habitat temporarily or permanently, due to sea level erosion is serious concern in a global arena. Mostly climate changeability has brought floods, sea level rise and soil erosion. This variability has adversely impacted on agriculture, property, houses and fishing gadgets of households in different ways. This present paper focuses on the experiences of sea level rise induced migration in Satabhaya region of Odisha. On the basis of well-structured in depth interviews with displaced respondents in 2018, present study presents how sea level rise affects precious living and economic conditions of the people. Based on the these concerns in the study; the historical background of SLR induced migration, its main reasons , recent trends, possible future displacement, some suggestion and policy options are given in conclusion.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sea level rise induced migration, livelihood, rehabilitation, adaptation, policy options

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper delves into the intricate neurochemical processes underlying the perception of romantic relationships by investigating the impact of a hypothetical romantic bond on dopamine neurotransmission in a cohort of 10 healthy individuals. Employing a pioneering methodology that harnesses the power of social media and cutting-edge artificial intelligence (AI) algorithms, this study constructs and perpetuates the illusion of a romantic relationship between two AI generated personas - subjects, A (male) and B (female). Over the course of a 5-month longitudinal investigation, participants' dopaminergic activity was assessed using synthetically ai-generated functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) scans, as they were exposed to AI-generated social media content and verbal communication simulating the progression of the delusional relationship. The primary objective of this study is to elucidate the temporal variations in dopamine receptor availability, neural activation patterns, and subjective experiences triggered by the perceived relationship until the participants are debriefed about its illusory nature. By leveraging advanced machine learning algorithms and natural language processing techniques, this research unveils the intricate interplay between AI-mediated social interactions and the mesolimbic dopamine system, which is implicated in reward processing, motivation, and emotional regulation. The findings of this study hold profound implications for understanding the neurobiological underpinnings of romantic attachment, the malleability of human emotions in response to AI-generated stimuli, and the potential therapeutic applications of AI in modulating neurochemical imbalances associated with affective disorders. The methodology employs AI to create realistic personas and social media interactions, simulating a romantic relationship over five months. This approach allows for a controlled investigation into how perceived romantic interactions can influence dopamine activity, a critical component of the brain's reward and pleasure systems. The use of synthetic AI-generated functional imaging data to assess changes in dopaminergic activity further underscores the innovative fusion of technology and neuroscience research. This integration offers a unique window into the complex interplay between social interactions, perceived relationships, and their neurochemical correlates. Furthermore, this research raises important ethical considerations regarding the use of AI in manipulating human cognition and emotion, emphasizing the need for responsible innovation and interdisciplinary collaboration in the burgeoning field of AI-driven neuroscience research.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

dopamine, romantic relationships, social media, artificial intelligence, neuroimaging, emotion, reward system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mental health professional, Emotional resilience, Workload intensity, Burnout, Depersonalization

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Creative Commons Attribution 4.0 and The Open Definition