Volume 13 | Issue 4 |

 Abstract

This study examines the effectiveness of Google Gemini, an AI-powered tool, for academic use among Arts and Science college students in Coimbatore City. It explores students' awareness, usage patterns, and the perceived benefits and challenges of using the tool for tasks like research, assignments, and exam preparation. Data was collected through a structured questionnaire. The findings reveal that while many students find Google Gemini helpful in enhancing learning, concerns remain regarding accuracy and ethical use. The study suggests promoting digital literacy to improve the effective use of AI in Education.

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 Keywords

Google Gemini, Artificial Intelligence, Academic Purpose, Student Perception, Digital Learning.

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 Abstract

This paper discusses Arvind Adiga's debut novel, The White Tiger, for which he received the Booker Prize in 2008. This groundbreaking work shows the harsh realities of 21st-century globalised Indian society, which is ridden with class conflicts. The Marxian class struggle between the bourgeoisie and the proletariat drives the whole plot of the novel. The narrative is characterised by the master/slave and have/have-not dichotomies. It is written in epistolary form. The narrator, Balram Halwai, exposes the dark underbelly of society where the means of production are in the hands of those who wield power in the system. However, Balram shows an exceptional vigour for revolution to bring about a new order in the world where the tables have turned, and the proletariat topples the bourgeoisie regime. Following the same Marxist strain, we will explore the concepts of 'Hegemony' and 'Organic Intellectuals' introduced by the prominent Italian Marxist thinker Antonio Gramsci, ways to overcome it through revolution, and the Foucauldian ideas of 'Power and Resistance', which are embodied in the character of Balram in the novel.

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 Keywords

Bourgeoisie, Class-struggle, Hegemony, Intellectuals, Proletariat, Power, Resistance.

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This study examines the effectiveness of AI software in enhancing training and development at Thermax Global Limited. It evaluates AI's impact on employee engagement, skill development, and well-being. The research aims to assess how AI influences performance monitoring and managerial support. A structured questionnaire was used to collect data from 150 employees. Data analysis was conducted using percentage analysis, weighted average, correlation, and chi-square tests. The findings offer recommendations to improve AI integration for better employee satisfaction and organizational efficiency.

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 Keywords

AI Software, Training and Development, Employee Engagement, skill development, reduce stress.

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Creative Commons Attribution 4.0 and The Open Definition

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The research examines how variations in soil CBR affect the required thickness of different pavement layers to ensure durability and cost-effectiveness. Additionally, the role of GSB, WMM, CTSB, and CTB in load distribution, stability, and longevity is analyzed using standard design methodologies such as IRC guidelines. The findings highlight that an optimal combination of high-strength base and sub-base layers can reduce pavement thickness, enhance service life, and lower maintenance costs. The study provides practical insights for engineers and policymakers in designing sustainable and economically viable flexible pavements

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GSB-Granular Subbase, WMM-Wet Mix Macadam, CTSB-Cement Treated Subbase, CTB-Cement Treated base

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This research examines the emerging technology of food delivery drones and their potential to transform the restaurant industry's last-mile delivery systems. With increasing consumer demand for faster, more efficient food delivery services, drone technology offers a promising solution to overcome traditional transportation constraints. This study investigates the operational capabilities, regulatory frameworks, consumer acceptance, and economic viability of drone-based food delivery systems across urban environments. Data collected from pilot programs between January 2022 and December 2024 reveals that drone deliveries can reduce delivery times by up to 70% and decrease delivery costs by 30% compared to traditional methods, while maintaining food quality and temperature standards. However, challenges including air traffic management, battery limitations, weather constraints, and privacy concerns present significant hurdles to widespread implementation. The findings suggest that food delivery drones represent a viable solution for urban food logistics that could substantially disrupt current delivery models while offering environmental and economic benefits.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food delivery drones, last-mile logistics, urban aerial mobility, contactless delivery, sustainable transportation

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Creative Commons Attribution 4.0 and The Open Definition

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This research examines the implementation and effectiveness of artificial intelligence (AI) techniques for navigation and obstacle avoidance in unmanned aerial vehicles (UAVs). As drone applications proliferate across commercial, industrial, and consumer sectors, the demand for robust autonomous navigation capabilities has become increasingly critical. This study analyzes various AI approaches including deep reinforcement learning, computer vision algorithms, sensor fusion techniques, and path planning methodologies that enable drones to navigate complex environments without human intervention. Data collected from experimental trials conducted between March 2023 and January 2025 demonstrates that AI-powered navigation systems achieve 94% obstacle detection accuracy in dynamic environments and reduce navigation errors by up to 78% compared to traditional algorithms. The research identifies key challenges including computational constraints, environmental variability, and sensor limitations, while highlighting promising developments in edge computing and neuromorphic processors that may overcome these obstacles. The findings suggest that AI-based navigation represents a transformative technology for drone operations that will significantly enhance safety, efficiency, and application versatility across numerous sectors.

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 Keywords

Drone navigation, obstacle avoidance, artificial intelligence, deep learning, sensor fusion, autonomous systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Badalte samajik mulyon aur samkalin mahila rachnakaro ke sahitya me nari vimarsh

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Badalte samajik mulyon aur samkalin mahila rachnakaro ke sahitya me nari vimarsh

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of films is to entertain the general public and also to highlight various kinds of social, political, economic, psychological and familial problems and provide solutions to them. Films have been being produced in India for the past 90 years.While dialogues have importance in taking the story of a film forward, music also has its own place. Many types of emotions can be expressed through music. In 'Natya Shastra', Bharat Muni has clearly stated that the main purpose of a drama is the creation of rasa, i.e. when a person watches a drama, he identifies himself with the situations and finds solutions to them. Indian film industry is not only related to the films made in Mumbai but also includes South Indian films, Bengali films, Uttar Pradesh films,In Purvanchal and Punjabi film industry, films are being made in their own languages and hence the culture of that place is seen through films. By watching these films, people of every state of India get acquainted with the culture and civilization of other states as well.

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Singer, Shiv-Hari, Sitar, Shehnai, Tabla, Sarangi

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Creative Commons Attribution 4.0 and The Open Definition

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Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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EEG Decoding, Electroencephalography (EEG), Cognitive Computing Brain Activity Fourier Transform.

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Creative Commons Attribution 4.0 and The Open Definition

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From the earliest maritime trade connections in the fifth century CE to the current worldwide diaspora, this paper explores the complex development of Tamil migrant communities, emphasizing important occupational shifts influenced by historical factors. It looks at the Nadan community's crucial role in ancient maritime travel and cross-cultural interactions with societies such as Greece, Mesopotamia, and South Korea. The story then switches to labour migrations to different parts of the world during British colonialism and the educated Tamils' post-independence migration to Western countries. Particular attention is paid to the distinct situation of French Pondicherry migration to France and the resulting socioeconomic and cultural ramifications. The dynamic rise and fall of Tamil Nadu's economy, the lasting impact of the Dravidian movement on the state's political landscape, the crucial role of cinema, the intricacies of caste and religious extremism, and the transformative impact of influential individuals like Kamaraj on education are all further examined in this paper. Finally, it looks at how Tamil Nadu's political dynamics may change in the future due to generational shifts, the rise of national parties, and enduring concerns about social justice and regional identity. It also looks at the rise of new political leaders. This sociopolitical and historical journey highlights the Tamil people's adaptability, tenacity, and long- lasting cultural influence over centuries and continents

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 Keywords

Tamil Nadu , migration, Diaspora,Economiy

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Creative Commons Attribution 4.0 and The Open Definition