Volume 13 | Issue 8 |

 Abstract

Abstract The Amarnath Cave Temple, one of the sacred Hindu sites of India located in Jammu and Kashmir embodies a deep spiritual significance for millions of devotees. It is considered as one the abodes of Lord Shiva, who took shelter in Amarnath, situated at an altitude of 3888 m. Every year lakhs of Hindu Pilgrims visit this holiest place. While the pilgrimage holds immense spiritual importance, it also plays a crucial role in shaping the socioeconomic fabric of the surrounding communities. The paper explores the dual dimension of spirituality and prosperity by analysing the socio-cultural and economic dimensions of pilgrimage tourism in Kashmir Valley, with a focus on Amarnath Yatra on local residents. By utilizing both qualitative and quantitative methodologies, It examines how the annual pilgrimage at Amarnath cave temple stimulates local employment, boosts local businesses, drives cultural exchange and helps in maintaining communal harmony. It also delves into the paradigm of sustainable tourism along with maintaining the strong cohesion between spirituality and ecology. The results indicate that although the yatra plays a substantial role in enhancing regional wealth, sustainable management strategies are crucial for maintaining a harmony between spiritual tourism and enduring socioeconomic stability.

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 Keywords

Keywords: Spirituality, socioeconomic, Sustainability, Amarnath Yatra

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Creative Commons Attribution 4.0 and The Open Definition

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The Korean Wave (Hallyu) has transformed South Korea into a global cultural powerhouse, with K-Pop, K-Dramas and Korean films achieving unprecedented worldwide success. This paper examines the role of social media analytics in accelerating the global spread of Korean content. Platforms such as YouTube, TikTok, and Instagram have enabled entertainment companies to measure engagement and strategically target international audiences. Using case studies of Squid Game, BTS's Butter, and Single's Inferno, the study highlights how companies rely on analytics to optimize content distribution and fan interaction. The findings demonstrates that social media analytics serve as both a cultural and economic tool, bridging creativity production with data-driven strategies that sustain Hallyu's global growth.

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Social Media Analytics, Korean Wave, Squid Game, BTS, Single's Inferno, Globalization.

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The Artificial Intelligence (AI) and Machine Learning (ML) have brought in drastic changes on how the healthcare works, it has changed the capability and capacity of the traditional healthcare approach of doctor referrals to the one in need to business and spending money on advertising to attract patients. However, artificial intelligence involves in decision making controls and extends support in diagnostics by performing a robotic surgery, communicating with the patient and express empathy in speech, touch and decision support in disease diagnosis and screening. But AI has to be used cautiously due to its issues in the bias, ethics, fairness that may occur is not applied properly. The research involves in understanding the Usefulness of AI in healthcare, ethical and biases involved in application of AI, application of Marketing ethics in responsible AI, appropriateness of machine learning models and consumer perspectives and trusts on AI in using their clinical data for marketing and making profits.

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Artificial Intelligence, Machine learning, global health, Healthcare, Social Media Marketing, Consumer trust, Marketing ethics

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ABSTRACT Artificial Intelligence (AI) has revolutionized customer engagement, with chatbots emerging as a widely adopted tool for enhancing user interaction in online platforms. This study investigates the influence of AI-driven chatbots among Gen Z consumers in Thrissur, a segment known for its high digital adoption and reliance on technology. Using a sample of 150 respondents, the research examines the level of awareness, usage patterns, and perceptions of Gen Z towards AI chatbots, with specific focus on convenience, personalization, trust, and satisfaction. Data was analyzed to identify the extent to which chatbot interactions impact Gen Z's online shopping experience and decision-making behaviour. The findings reveal that chatbots significantly shape user engagement by providing instant assistance and personalized support, though challenges remain in building trust and reliability. The study provides valuable insights for businesses and service providers in Thrissur to design more effective AI-driven chatbot strategies tailored to the expectations of Gen Z consumers.

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Artificial Intelligence, Chatbots, Gen Z, Online Shopping, Consumer Perception

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The reintegration of homeless individuals with schizophrenia into family settings presents complex challenges and opportunities. Persons suffering from mental illness may become separated from their families due to psychopathology and cognitive distortions. Sometimes, they are unable to recall their names or residential addresses and wander to distant places. According to the 2011 Census, about 1.77 million people in India are homeless or wandering, of which 726,169 (41%) were women. Achieving the objectives outlined in the National Mental Health Policy (2014) requires innovative strategies. This study explores recent advancements in technology and collaborative initiatives involving the Police Department, District Social Security Officer, and the Research Academy for Rural Enrichment (RARE) that aim to facilitate family reintegration for homeless individuals with schizophrenia. Drawing on a case report from the District Mental Health Programme (DMHP), Subarnapur, Odisha, the study analyses successful reintegration efforts and discusses their implications for future interventions and policies. Objective: To investigate recent technological advances and collaborative initiatives with civil society aimed at reintegrating homeless individuals with their families. Findings: The study highlights the complex nature of the reintegration process for individuals with mental illness. However, the use of technologies such as Aadhaar card, Facebook, Google Maps, and digital communication tools provides effective means for family tracing and communication.

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Schizophrenia, Homelessness & Reintegration.

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This research paper investigation explores the function and consequences of simulation in Dave Eggers' dystopian novel "The Circle." It highlights the protagonists' vulnerability to being duped by made-up realities, which distorts their sense of their local environment. The philosophical framework of Simulacra and Simulation, created by the well-known French sociologist and cultural theorist Jean Baudrillard, serves as the intellectual basis for this investigation. This framework provides a prism through which to view how technology might create virtual worlds that are different from the real, physical world. This study clarifies how the corporation's technical advancements create an idealized world that eventually conceals a dishonest nature through a careful examination of the aforementioned literature. As the characters become enmeshed in a simulation that progressively undermines their uniqueness and autonomy, it examines the effects of this deception on their perception of self-identity and self-worth. Additionally, this study reveals Dave Eggers' clever use of simulated social media networking as a means of criticizing the dangers of surveillance capitalism and the false promise of total transparency in the modern world, which has lost its authenticity and individuality in its ceaseless quest for recognition and validation of human existence.

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Singularity, Openness, Delusion, Technology, Simulation, Dupery.

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The Smart Hybrid Attendance Management System Using Face Recognition is an innovative and efficient solution designed to automate attendance tracking in educational institutions. Traditional attendance methods, such as manual registers or RFID-based systems, are prone to errors and time-consuming processes. This system leverages Artificial Intelligence (AI) and Machine Learning (ML) to streamline attendance marking by recognizing student faces in real time. The system maintains a student database that stores essential details such as name, ID, roll number, department, course, year, semester, and guardian contact information, along with face samples that are used for facial recognition. These face samples are trained using machine learning algorithms to ensure accurate identification of students. The Face Recognition Module is responsible for automating the attendance process. When students appear before the system, their faces are detected and compared with the pre-stored dataset. If a match is found, they are marked as "Present", and their details are logged into attendance.csv. The Attendance Panel allows administrators to manually verify and manage attendance records, ensuring flexibility and accuracy. In cases where students are absent, the system provides an interface where administrators can manually mark them as "Absent" and store their details in a separate absentees.csv file. The system also includes a refresh button to update records dynamically and a manual control button for faculty to review and adjust attendance as needed. A key feature of this system is its Automated Absentee Notification System, which ensures effective communication between the institution and parents. Once students are manually marked as absent, their details are retrieved from absentees.csv, and an email notification is sent to their respective guardians informing them of their child's absence from class. This feature helps improve parental involvement, enhances institutional transparency, and ensures that students maintain regular attendance. By integrating biometric-based attendance tracking with manual oversight and automated reporting, this system significantly reduces administrative workload while ensuring secure, accurate, and real-time attendance monitoring.

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AI, NLP, ML, streamline attendance deep learning, Automated Absentee Notification System

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Creative Commons Attribution 4.0 and The Open Definition

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: In an age of hyper-informatization, extracting meaningful insights from the huge quantities of textual data has assumed an immense role in many industries, including journalism, research, business intelligence, and legal documentation. This paper discusses the development of an AI article summarizer that combines cutting-edge Natural Language Processing (NLP) and Machine Learning (ML) techniques for generating precise yet informative summaries. The systems incorporate extractive and abstractive summarization, whereby extractive models select relevant sentences from the source text and abstractive models reformulate and synthesize new content for improved readability and coherence.We applied transformer-based architectures, such as BERT, T5, and GPT, on our approach since they have provided state-of-the-art performance in text understanding as well as generation tasks. This summarization model is not only trained on large-scale datasets but further refined using reinforcement learning and transfer learning techniques to improve the quality of generated summaries. Context-aware ranking algorithms, sentiment analysis, and keyword extraction have also been integrated into the system in order to better refine the summarization outputs according to the user preferences and domain-specific needs.

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AI-based summarization, NLP, ML, extractive summarization, abstractive summarization, transformer model, BERT, T5, GPT, text summarization, content automation, information retrieval, deep learning, text generation, ROUGE score, BLEU score, METEOR score.

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Creative Commons Attribution 4.0 and The Open Definition

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Cultural Theory, Postmodernism, Gender and Identity, Alienation, Commodification of the Body, Fragmentation, Representation

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Mona Zote's poetry articulates a potent decolonial epistemology through radical formal innovation. This paper examines how "Anti-love Poem" and "Rez" transform poetic structure into a site of ontological resistance against historical erasure and state-sanctioned violence in Mizoram. Through anaphoric negation, visceral fragmentation, and a deliberate "conspiracy against itself," Zote's work performs a violent hermeneutics that excises colonial paradigms and materializes the abject body as a counter-archive of the "untelevised truth." Grounded in the Mizo historical experience of the AFSPA-era and informed by the legend of Pi ?ghaki, her poetry enacts a Fanonian rupture, forging an insurgent cartography of memory. Ultimately, Zote's form operates not as representation but as constitutive ontology, a grammatical matrix where silenced histories achieve articulation and demand an ethical response.

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 Keywords

Decolonization, Poetic Form, Mizo Resistance, Historical Trauma, Testimonial Hermeneutics

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Creative Commons Attribution 4.0 and The Open Definition