Volume 12 | Issue 10 |

 Abstract

Stress is a pervasive and debilitating condition affecting millions worldwide; impairing physical and mental health .Stress has become a ubiquitous aspect of modern life, affecting individuals from all walks of life. This review explores the prevalence, causes, and consequences of stress in daily life. Chronic stress triggers hypothalamic-pituitary-adrenal axis activation, releasing cortisol and adrenaline, leading to Anxiety and depression, Sleep disturbances, cardiovascular disease, Weakened immune function, Digestive disorders, Cognitive impairment.

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Stress, mindfulness, anxiety, depression, Homoeopathy, holistic

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 Abstract

After becoming Prime Minister of India, Narendra Modi launched significant efforts to strengthen India's position in South Asia and expand its influence in the Indian Ocean region. Central to this strategy is the "Neighbourhood First Policy," which serves as a cornerstone of India's foreign relations framework. This paper aims to analyze the implementation of the "Neighbourhood First Policy" by examining bilateral relations between India and its neighboring countries, utilizing both historical and logical research methods within the field of international relations. While the policy has aimed to foster stronger ties, it encounters challenges, particularly from China's growing influence and ongoing border disputes that contribute to regional security concerns, including recurrent terrorist incidents. Despite these obstacles, the "Neighbourhood First Policy" has facilitated improved connections between India and its South Asian neighbors, reflecting Modi's commitment to enhancing bilateral relationships and regional connectivity.Looking ahead, the trajectory of the "Neighbourhood First Policy" is expected to evolve, with the potential for greater success in future phases as India navigates the complexities of its regional dynamics.

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Neighbourhood, Narendra Modi, International Relations, Foreign Policy

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In recent times, as technology progresses, humans have opted for process automation to facilitate their job and lives. A face is an essential element of the human anatomy as it is the unique part of the body which can classify individuals separately. Face recognition systems may be created by exploiting facial features as a biometric identifying component. Regular monitoring of attendance is the most time-consuming duty in any company or organization. The main aim of this journal is to provide a feasible "Smart Attendance Tracker" that is operated on a 'Small form factor' hardware to get optimum efficiency out of the system. An Open CV-based facial recognition approach has been proposed as a workable solution. A Raspberry Pi running the Python script and an external Web camera is used to concurrently monitor attendance and update the following values in a Comma Separated Values (.csv) file. The CSV file acts as a dataset for the Mobile Application to display the attendance of people and other parameters.

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Attendance Tracking, Raspberry Pi, Kotlin, Python, Cloud Storage, OpenCV

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This research paper explores the development and application of AI-based image captioning This systems. These systems leverage advanced deep learning techniques to automatically generate descriptive text for images, bridging the gap between visual and textual information. The paper delves into the core concepts, benefits, and challenges associated with image captioning, highlighting its potential to revolutionize various fields, including accessibility, search engine optimization, and human-computer interaction.

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CNN, Human- PC interaction, etc.

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This review explores the evolving relationship between craftsmanship, fashion, and technological progress, offering a nuanced understanding of how innovations have reshaped the fashion industry. The integration of technology into fashion has improved production quality and efficiency, enabling precise, scalable manufacturing processes and fostering global connectivity. However, this progress comes with challenges. Traditional craftsmanship faces threats such as cultural homogenization, artisanal displacement, and environmental concerns. Yet, technology also presents unique opportunities for growth and development, including digital archiving of cultural heritage, sustainable production practices, and the creation of innovative materials. The review highlights the economic and social benefits of this intersection, particularly for local communities. By embracing technology, artisanal crafts can reach new markets and create employment opportunities, driving economic growth. Additionally, technological advancements in sustainable production methods can alleviate the environmental impact of fashion, contributing to global efforts toward sustainability. The value of workmanship, especially in maintaining national identity and regional traditions, is also underscored. As technology enables the preservation of traditional techniques through digital platforms, communities can maintain their cultural legacy while exploring new avenues for innovation. Ultimately, the findings emphasize the need for collaborative efforts between policymakers, educators, and industry leaders to ensure a future where craftsmanship and technology coexist harmoniously. Striking a balance between innovation and tradition is crucial for promoting sustainable fashion practices, preserving cultural heritage, and empowering local communities. The debate between technology and craftsmanship not only extends the fashion industry's creative possibilities but also reinforces its social and cultural relevance, ensuring a more equitable, sustainable, and culturally rich future.

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craftsmanship, fashion, technology advancement, sustainability, cultural heritage, artisanal production.

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 Abstract

MACHINE LEARNING TECHNIQUES.

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DATA SCIENCE

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This project aims to develop a voice-activated smart virtual assistant that leverages advanced machine learning, speech recognition, and other emerging technologies. The primary objective is to enhance user convenience by providing personalized responses, insightful recommendations, and efficient task handling. Beyond basic functionalities like setting reminders and managing appointments, this assistant will be capable of making calls, sending messages, and controlling smart home devices. Additionally, it will provide users with real-time information on weather updates, news, sports scores, and more. With support for multiple languages and contextual memory of past interactions, the assistant will offer a smooth, intuitive experience, adapting to individual user preferences through continuous learning. Ultimately, this project envisions a highly responsive, hands-free virtual assistant designed to transform user interaction and task management.

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Voice-activated virtual assistant, Machine learning, Personalized recommendations, Natural language processing (NLP), Speech recognition

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Mathematical modelling is the process of creating a mathematical representation of a system to gain insight into or understand its behavior. It is a powerful tool used to develop and refine solutions to real world problems. Mathematical modelling is used in a wide variety of disciplines, such as engineering, economics, biology and many more. The process involves constructing a mathematical model, which is a combination of equations, variables and parameters that describe the system.

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mathematical modeling, Statistical System, dynamics, Agent based modelling.

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The growing interest in intelligent chatbots has surged in recent years, driven by advancements in artificial intelligence algorithms. This has led to numerous studies exploring emotional transitions and dialog structures. One notable application is in the medical field, where chatbots can assist with psychological assessments, clinical counseling, autism diagnostics, and complex cognitive modeling. However, a common limitation of many chatbots is their reliance on web-based information repositories. While these sources provide reliable information, they often lack the nuanced emotional understanding necessary for meaningful interactions. This paper aims to address this gap by developing an intelligent chatbot that leverages natural language processing and the Telegram API.

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Creative Commons Attribution 4.0 and The Open Definition

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Telegram API, chatbot, natural language processing, emotion

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Creative Commons Attribution 4.0 and The Open Definition

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The paper extensively addresses numerical adaptation words inherent in translation, exploring techniques to preserve original numeric nuances in literary texts. It delves into assessing numeric aspects within individual translations, utilizing quantitative data from corpus linguistics. The focus centers on numerical adaptation words translation issues, specifically examining the novels "Red Tea and Eiyum Panikkadu".

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numerical words, translation, linguistic perspective, Tamil version, syntactic approach, adjectives

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Creative Commons Attribution 4.0 and The Open Definition