Volume 13 | Issue 8 |

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

Schizophrenia, Homelessness & Reintegration.

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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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 Keywords

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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This paper introduces and critically examines the Agentic Leadership Model, a paradigm that integrates artificial intelligence (AI) as an active amplifier of leadership traits such as empathy, transparency, and empowered autonomy. Drawing on leadership theory, AI integration, and empirical applications, the study highlights the distinctiveness of Agentic Leadership compared to transformational, servant, authentic, and adaptive leadership models. The paper also discusses practical applications, challenges, and ethical dilemmas, before outlining future research directions. By situating AI as an agentic partner rather than a passive tool, Agentic Leadership provides a blueprint for responsible, human-centered leadership in the digital era.

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Agentic Leadership, Artificial Intelligence in Leadership, Human-AI Collaboration

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Creative Commons Attribution 4.0 and The Open Definition

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Garbhini Chardi, referred to as nausea and vomiting during pregnancy (NVP), is a frequent symptom recognized in Ayurvedic literature as a natural phenomenon in early gestation. Physiological, hormonal, and doshik imbalances, particularly the vitiation of Kapha and Pitta, influence the condition, resulting in symptoms including excessive salivation, sour vomiting, and discomfort. Ayurveda prioritizes comprehensive management approaches, encompassing dietary adjustments, herbal remedies, and lifestyle alterations to equilibrate doshas and promote the health of both mother and fetus. In contrast to general vomiting (Chardi), Ayurvedic treatment for Garbhini Chardi eschews vigorous purifying methods, favoring gentler remedies like Bhoonimba paste, Bilva phala majja, and Eladi Choorna. Adhering to appropriate dietary guidelines (Pathya) and implementing lifestyle modifications are essential for mitigating symptoms, ensuring nutritional adequacy, and reducing problems such as dehydration and hyperemesis gravidarum. Ayurveda offers a secure, efficacious, and personalized method for addressing pregnancy-related nausea, delivering relief while enhancing overall well-being.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Garbhini Chardi, Ayurveda, Dosha imbalance, pregnancy nausea, herbal remedies

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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

mok?a, dar?ana, Bhagavad G?t?, philosophical methodology, self-realization

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Creative Commons Attribution 4.0 and The Open Definition