In the dynamic realm of finance, this research investigates the transformative influence of Artificial Intelligence (AI) on financial systems and strategies. The study recognizes the evolving landscape and addresses regulatory challenges, employment dynamics, security concerns, and ethical implications associated with AI integration. Employing a mixed methodology approach, the research seamlessly integrates qualitative data analysis with surveys, Google Forms, and various primary data collection methods. The objectives include scrutinizing regulatory frameworks, assessing ethical considerations, and evaluating the robustness of AI models in financial security. Additionally, the research explores AI's impact on financial sector employment. Findings aim to offer nuanced insights into the multifaceted challenges and opportunities posed by AI in finance. The research offers a holistic understanding of AI's impact on financial systems, addressing regulatory challenges, employment dynamics, security concerns, and ethical implications. The study concludes by emphasizing the need for a balanced, dynamic, and responsible approach to shaping financial strategies in the AI era. Our team crafted a suggestive model, which serves as a core framework, enabling effective navigation of the dynamic landscape and strategic steering for the future of financial strategies.

This research endeavours to tackle the complex and pervasive issue of food insecurity among economically disadvantaged populations in India, recognizing it as a multifaceted challenge deeply rooted in poverty and inequitable access to food resources. Through a rigorous examination of existing literature, empirical data analysis, and in-depth case studies, the study aims to achieve three central objectives. Firstly, it seeks to explore the nuanced intersectionality of food insecurity and poverty among marginalized communities, shedding light on the underlying causes and unique challenges faced by those most deprived within society. Secondly, the research endeavours to critically evaluate the effectiveness of current interventions, government policies, and community-based programs in mitigating food insecurity, with a focus on identifying gaps and opportunities for improvement. Additionally, the study aims to delve into ancient Indian strategies and traditional practices, such as educational and communitydriven approaches, to enrich contemporary efforts in enhancing food security and overall well-being. By addressing these objectives, the research aspires to provide valuable insights and evidence-based recommendations to policymakers, organizations, and communities striving to alleviate food insecurity among low-income households in India.

This comparative study delves into the realms of traditional Vedic learning and contemporary educational practices, aiming to illuminate their unique attributes, pedagogical strategies, and philosophical underpinnings. Drawing insights from scholarly literature, empirical data analysis, and historical perspectives, the research endeavors to bridge the gap between ancient wisdom and modern educational paradigms. The Vedic learning system, rooted in the Gurukul tradition, emphasized a sacred bond between the Guru (teacher) and Shishya (student), fostering individualized instruction, value-based education, and a deep connection to nature. In contrast, modern education faces challenges such as indiscipline, technological distractions, and perceived moral value decline among students. The research underscores the necessity of integrating elements from both Vedic learning and modern educational approaches into the curriculum. It advocates for holistic education that incorporates values, self-study practices, and spiritual development alongside modern subjects and technologies. Furthermore, moral and ethical education should be prioritized to cultivate compassionate and socially responsible individuals. The research is qualitative, quantitative, and descriptive explorative. This study is based on primary data. A survey was designed to collect primary data. Responses were collected from the general public. Secondary data was collected from official websites, journals, research papers, books, and scholarly articles, all of which were discussed during the study. In conclusion, by embracing the wisdom of ancient teachings while leveraging contemporary advancements, education can catalyze holistic growth and societal progress. Initiatives such as the National Education Policy 2020 demonstrate efforts to address current challenges and foster a more inclusive and comprehensive approach to education, aligning with the needs of the modern economy and nurturing individuals who are not only intellectually competent but also morally upright.

The study focused at the link between electric vehicles (EVs) and ecosystems, with the goal of better understanding their environmental impact. With the global push for sustainable transportation, EVs have emerged as a possible alternative to traditional fossil-fuel automobiles. The research paper examines the, affordability and sustainability of different vehicle modes, and the role of EVs in reducing dependence on fossil fuels. The research paper explores the eco-friendly benefits of electric vehicles (EVs), their potential to reduce reliance on fossil fuels, emphasizing the importance of considering EVs for daily transportation. The scope of the study suggests a promising future for EVs with government support and technological advancements. The methodology involves descriptive research to analyse the potential of EVs and the data is collected through Google Forms in the form of a structured questionnaire. Findings indicate that while initial maintenance costs of EVs may be higher, overall ownership costs are lower due to reduced fuel expenses. Consumers perceive EVs as environment friendly due to their zero-tailpipe emissions, despite concerns about maintenance charges and battery expenses. But with the widespread usage of EVs, there is a need for innovation in battery technology, electric motor systems, etc. to make them usable for long- distance travelling purpose. The study concludes by suggesting in adoption of EVs for lower environmental impact, creating a better environment and emphasizes in increasing sustainability.

“ This paper explores the impact of chatbots technology on various industries and society as a whole .It explore the benefits and drawbacks of utilising chatbots ,exploring if they are blessing or a curse .The study looks at how chatbot have improved customer service ,boosted corporate , productivity ,and given consumers convenience. However ,It also tackles issues like employment displacement, privacy, and the possibility of chatbot abuse .This study aims to provide a through examination of chatbots effects and to encourage more conversations about the moral and practical implications of these technologies “

The focus of the study is on examining the impacts of taxation policies and reforms on FDI in India. As in today's globalised world, FDI is crucial to supporting a nation's economic growth and progress. It also investigates the link between trade honesty and foreign direct investment as a representation of these two criteria. This study has used primary survey data by robust sampling method has been used in which 150 participants have been selected randomly to comprehensively examine the intricate relationship between taxation policies and FDI in India. SPSS and thematic analysis have been employed to investigate the collected data. Major findings shows that FDI has the potential to boost the economies of both the investing and receiving nations. Stability and predictability of tax policies are the specific aspects of taxation policies that significantly impact on FDI in India. Corporate tax rates, and tax advantages are the specific aspects of taxation policies that impact FDI.

Nowadays, the majority of students are using ChatGPT. Our study focuses on the role of ChatGPT in modern education and the factors influencing student engagement and problems faced by them. By harnessing the power of large language models, ChatGPT redefines the dynamics of learning by providing personalized interactions tailored to individual student needs. 1. To analyse the relevancy of the generated content for the query asked on ChatGPT in the different areas of the study. 2. To identify factors influencing students' engagement with ChatGPT. 3. To identify the problems encountered by students while using ChatGPT. The proposed study is descriptive in nature. A simple random sampling technique will be employed. The sample size considered for the study is 200. This study will analyse the relevance of ChatGPT-generated content in different academic areas. Understanding student engagement factors and problems improves content accuracy and relevance, benefiting to the students and highlighting areas of excellence and improvement. Prioritizing accuracy enhances ChatGPT's role in knowledge acquisition.