Volume 13 | Issue 4

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Abstract: "Governments and local communities worldwide have realized the crucial role of promoting entrepreneurship, especially among young people, in creating wealth and driving regional growth. Entrepreneurs are the innovative minds behind new ventures, and the act of starting a new business is known as a Start-up. Entrepreneurship is a continuous wealth creation, leading to the formation of small to medium enterprises that play a significant role in generating wealth, increasing employment, improving living standards, and fostering innovation to boost productivity. In recent years, women have emerged as active participants in the entrepreneurial landscape, marking a significant shift from the traditional male-dominated business world. Government policies have celebrated this transformation, including measures to support student entrepreneurs through various incentives and rewards. Understanding students' attitudes towards entrepreneurship has become a focal point, with entrepreneurial education now integrated into the curriculum of many private and public higher education institutions. This research assessment is dedicated to exploring students' perspectives on entrepreneurship, identifying the obstacles that hinder young individuals from starting their enterprises, and uncovering the incentives that can drive youth towards entrepreneurship as a viable career choice."

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Keywords: Assessment; Communities; Entrepreneurship; Employment; Male dominated.

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In this fast-paced world, shopping malls and retail shops play a crucial role in enhancing human comfort. However, traditional billing systems create inconvenience by causing long queues during the checkout process, leading to significant time consumption. To address this issue, a new system called Real-Time Cart Checkout Using RFID and IoT has been developed. This system integrates the Internet of Things (IoT) and RFID technology, where an Arduino microcontroller works with an RFID reader to scan products equipped with unique RFID tags. Upon scanning, the product data is sent to a mobile application via a Bluetooth module. The app then retrieves matching details from a web server or database, automatically updating the pricing and product list in real-time. Users can manage their selected items efficiently, and the cart enables them to view the total amount directly in the app. By streamlining and automating the shopping experience, this IoT-based smart shopping cart significantly reduces checkout time, enhances convenience, and improves the overall retail experience.

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 Keywords

Internet of Things, RFID, Bluetooth, ArduinoUno, RFID Tag

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Banana fiber, which comes from the pseudostems of banana plants (Musa spp.), is gaining attention as a sustainable material. This natural fiber boasts a high content of cellulose, hemicellulose, and lignin, giving it impressive mechanical strength, thermal stability, and resistance to chemicals. These standout features make banana fiber a fantastic option for a variety of industrial uses, such as in textiles, composite materials, paper and pulp products, and even biomedical applications.In a closer look at banana fiber (BF), which is derived from the pseudostems of Musa spp., researchers examined its physical and mechanical properties to assess its potential in industry. Scanning electron microscopy (SEM) measurements showed that the fiber diameter ranges from 150 to 200 ?m.Its unique characteristics make it a compelling alternative to conventional materials, offering benefits like biodegradability, renewability, and a smaller carbon footprint.

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Banana Fiber,Basket and diversified uses,cellulose, hemicellulose, lignin, and applications.

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This study explores the effect of the school environment on emotional and social intelligence among Indian students studying in Kuwait, with a specific focus on gender differences during adolescence. Adolescence, a critical stage of emotional and social development, is marked by significant changes in cognitive, emotional, and social processing. Emotional intelligence (EI) and social intelligence (SI) are examined in relation to the social, cultural, and educational context in which students are situated. The research highlights how gender influences these forms of intelligence, with females generally showing higher levels of emotional intelligence, particularly in empathy, emotional regulation, and recognition. Social intelligence, which involves understanding social cues and navigating relationships, is also impacted by gender, with females often being more adept in these areas due to societal socialization patterns. Social Intelligence Scale developed by N.K. Chadha and Usha Ganeshan (1986), Hyde, Pethe and Dhar's Emotional Intelligence Scale (2002) and School Environment Inventory by Mishra (2000) were used to gather the relevant data from the respondents. Key terms such as adolescence, school environment, gender, emotional intelligence, and social intelligence are operationally defined to contextualize the study. The research also considers the influence of cultural factors, suggesting that while gender differences exist, they are shaped by societal and cultural norms. The findings of this research will contribute to a deeper understanding of how the school environment influences emotional and social intelligence and how these differences manifest across genders in diverse cultural settings.

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EFFECT OF SCHOOL ENVIRONMENT ON EMOTIONAL INTELLIGENCE AND SOCIAL INTELLIGENCE OF INDIAN STUDENTS STUDYING IN KUWAIT

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Textiles are an essential component of human existence. These days, textile finishes can offer exceptional sanitary qualities, such as making a fabric antibacterial, in addition to improving the feel and drape of materials. Even while human skin is perhaps the most crucial barrier to keep microbes out of the body, it also encourages the growth of germs due to metabolic byproducts like acidic, basic sweat and urine. Anti-microbial finish is most widely used in the textile applications for health care textile, home textiles, medical textiles etc. Herbal finish pillow cover is designed to interdict the growth of micro-organisms for example bacteria, fungi, virus etc., on the fabric surface which cause skin infection. It increases the quality of sleeping and prevents from respiratory problems. The herbal extract from Salvia Rosmarinus have been applied to the fabrics by boiling method. The presence of anti-microbial properties in these leaves is used as a traditional medicine and also for cosmetic products. This study has been undertaken to apply anti-microbial finish extracted from Salvia Rosmarinus on bamboo woven fabric. The leaves are dried and then it is converted into powder. It is applied to the fabric in the form of boiling method. The fabric first undergoes pre-treatment process and then it undergoes finishing process. After finishing process, the fabric is printed using blocks which is known as Block printing using wooden blocks a tradition method of printing techniques. These herbal finish pillow cover helps to prevent the growth of bacteria, fungi and other odor-causing micro-organisms. It is eco-friendly and gives longtime freshness. It prevents skin from irritation problems and also for hair problems. Using this herbal finish pillow cover are used to increases quality of sleep and it gives pleasant smell naturally.

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Key words: - herbal extract (Salvia Rosmarinus), anti-microbial properties, boiling method, block printing, bamboo pillow cover.

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This study examines employee benefits at Novotel and Ibis, two prominent brands within the Accor Hotels group, focusing on their impact on satisfaction and retention. Using surveys and interviews, the research reveals that while employees appreciate existing benefits like health care and work-life balance, there are notable gaps in career development and flexibility. Enhancing these areas could boost employee engagement and loyalty, benefiting overall organizational performance. Recommendations for improving benefits strategies are provided to better align with employee needs.

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Employee Benefits, Novotel and Ibis Chennai Sipcot, Employee satisfaction, Employee Retention, Hospitality

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There has been an increasing focus on development of new routes of drug administration to provide tailored treatments for patients, without decreasing efficacy of analgesia, in proportion to the progression of the knowledge of pain mechanisms. While acute pain acts as an alarm, chronic pain is a syndrome requiring meticulous selection of analgesic drugs of high bioavailability forlong-term use. Such criteria are challenges that topical medications aim to overcome, allowing progressive delivery of active component, maintaining stable plasma levels, with a good safety profile. This review presents recent findings regarding topical formulations of the most widely used drugs for pain treatment, ; Disclosed herein is a herbal balm composition and the method of preparing said composition. The composition comprising extracts of organically certified herbs, organic essential oils and organic beeswax, wherein the extract is prepared employing a super critical fluid extraction (SCFE) and where in the essential oils used herein is obtained by cold pressed method. The oils used in it is used as a pain killer.

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Natural pain relief balm , Beatel leaf ,camphor , Eucalyptus oil.

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Background--Alzheimer's disease (AD) is a multifactorial, progressive neurodegenerative disorder characterized by memory loss, cognitive decline, and personality changes. While its exact etiology remains unclear, emerging evidence suggests that genetic, environmental, lifestyle, and dietary factors contribute to disease progression. Current pharmaceutical treatments primarily manage symptoms without altering disease progression, and over two hundred drug candidates have failed clinical trials in the past decade, highlighting the complexity of AD. In recent years, medicinal plants and herbal remedies have gained significant interest as complementary and alternative interventions. Numerous studies have identified various medicinal plants and their bioactive compounds with neuroprotective properties, including anti- inflammatory, antioxidant, and cognitive-enhancing effects. Methods--This review systematically examines recent studies exploring the role of neuroprotective herbs and their bioactive compounds in the prevention and management of AD-related dementia. Relevant literature was sourced from PubMed Central, Scopus, and Google Scholar, with studies selected based on their relevance to herbal interventions for AD.

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Alzheimer's disease; neurodegeneration; ashwagandha; brahmi; cat's claw; ginkgo biloba; gotu kola; lion's mane; saffron; shankhpushpi; turmeric; triphala

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Human resource management is essential for any kinds of organization dealing with people. Human resource is one of the most important resources for all types of organizations. The success of any organization depends onits human resources i.e. employees. Employees with good qualities and commitment towards the assignedtaskincreasethejobperformancetherebyincreasingtheorganizational performance. Every organization needs to maintain and manage the human resources efficiently and effectively. Therefore, human resource manager plays a vital role in maintaining the human resources such as newly recruited employees, well trained employees within the organization for a certain period of time. Every individual in the organizationneedsempowermentinordertoenjoytheworkatworkplace.Empowered employees help the individual to have better commitment in the workplace and committed employees ensure increased job performance. However, the changing patternofworldwidebusinessconditionandtomeettheneedsofthediversecustomer and stakeholder, employees have to face various challenges in their workplace

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Employee Empowerment, Banking staff, Workers,

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The Drug Recommendation System in Medical Emergencies using Machine Learning is a web-based application designed to predict suitable medications based on a given set of symptoms. The system is built using the Flask framework and integrates a pre-trained Random Forest model to process user-inputted symptoms and generate predictions. The application provides functionalities such as user login, dataset upload, data preview, and prediction visualization through an interactive web interface. The system allows users to input symptoms, which are then processed by the machine learning model to determine an appropriate drug recommendation. Additionally, the platform features a structured navigation system, carousel-based UI elements, and multiple web pages for different functionalities, including performance analysis and data visualization. This project aims to enhance accessibility to medical predictions by leveraging machine learning for symptom-based drug recommendations.

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Drug Recommendation, Random Forest, Symptom-Based Prediction, Web Application, Medical Emergencies

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This paper examines how the Indian epic Ramayana is rewritten with the help of technology and writing in the digital medium. With the advancement of digital media, the ancient books like the Ramayana are converting into an engaging visual experience. Among other major digital versions of the story that are the focus of this study includes Ramayana: The Epic (2010), an animated movie that was directed by Chetan Desai, and Ramayana: Clash of Ram - an interactive video game. This research looks at how these digital versions do transformation constructs, captivates everyone and affects how a person understands culture. By using a qualitative method within the ambit of Digital Humanities, it deals with how-the differences in structure, themes, and characterization between traditional manuscripts and their digital adaptations were studied. Digital Humanities is a term for viewing how culture has been mediated and is creating the transformed tales. It examines how digital versions of canonical texts change the way they were previously perceived and dramatically reconceives their notion of authenticity and representation. The study also investigates how new technologies such as AI, VR, and AR disrupt the traditional storytelling form by making the experience much more immersive. However, these new technologies also ignite the issues of culture preservation or rather defining true stories. Digital Humanities, as such, explores how the Ramayana became digital. It investigates technology's interface with archaic writings and modern digital culture. It then ends by gauging the "good" and "bad" for digital storytelling and bystanders to ensure that epics like the Ramayana will still obtain importance as technology advances.

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This paper explores the idea of first rate employment as defined via the global Labour organisation (ILO) and examines the function of exertions legal guidelines in promoting honest, secure, and equitable paintings environments. decent work, encompassing fair wages, place of job safety, social safety, and inclusivity, is quintessential to human properly-being, financial balance, and social concord. The paper in addition analyses how labor laws, which include minimum wage requirements, administrative center protection regulations, anti-discrimination measures, and social protection advantages, function important equipment in translating the standards of decent paintings into practice. The studies additionally delves into the challenges and opportunities associated with exertions laws, specially in light of the upward push of the gig economy and casual sectors. whilst exertions laws have proven achievement in sure areas like Scandinavia and Germany, issues consisting of susceptible enforcement, exclusion of casual workers, and cultural resistance continue to be widespread challenges. The paper concludes through emphasizing the want for adaptive hard work policies which could address evolving group of workers dynamics and make contributions to the achievement of worldwide sustainable development goals, ensuring that every one employees revel in decent paintings possibilities.

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first rate paintings, labor laws, place of job protection, Social security, Gig economy, Sustainable development desires.

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Deepfake technology has advanced significantly, posing serious threats in the form of manipulated media, including synthetic audio that mimics real human voices. This project presents a Deepfake Audio Detection System that utilizes Mel-Frequency Cepstral Coefficients (MFCCs) as feature representations and a Support Vector Machine (SVM) classifier to differentiate between genuine and deepfake audio samples. The system extracts MFCC features from .wav files, scales them using Standard Scaler, and classifies them using a pre-trained SVM model. The Flask-based web interface allows users to upload audio files and receive real-time classification results. Experimental evaluation demonstrates the system's ability to effectively distinguish deepfake audio, contributing to enhanced digital media security.

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Fake Audio Identification, Digital Media Security, Audio Classification, Feature Extraction, Flask Web Application.

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A hydrogel is a network of hydrophilic polymer chains, similar to a colloidal gel in which water is dispersed medium. Hydrogels, whether natural or manmade, are highly absorbent polymeric networks that can contain over 90% water. Because of their high water content, hydrogels are flexible and comparable to natural tissue. The literature on this topic is growing, particularly in scientific research fields. This paper aims to evaluate the literature on hydrogel classification, physical and chemical properties, preparation methods, and technological feasibility.

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Hydrogel, colloidal gel, hydrophilic, Chemical cross-linking, Polymer, Application.

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Abstract The rapid adoption of digital payment systems has transformed financial transactions, enhancing convenience and efficiency. However, these systems are also vulnerable to various security threats, including fraud, phishing attacks, data breaches, and unauthorized transactions. This study aims to examine the security threats in digital payment systems within Malappuram District. Using a structured survey of 100 respondents, the research analyses the awareness and experiences of digital payment users regarding security risks. The findings highlight the most prevalent threats and suggest measures to enhance security in digital transactions.

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Digital Payments, Security Threats, Cyber Fraud, Online Transactions

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Creative Commons Attribution 4.0 and The Open Definition

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In the Automotive Industry, dynamic pricing is used a lot to make the most money and hold off the competition. The Automotive industry is using AI to build a data-centric framework that will allow dynamic pricing. This research will look at how they are doing it. Automakers can find out about how customers act, how the market is changing, and how competitors plan to beat them by using complicated formulas and strict data collection methods. The aim of this research is to analyze how dynamic pricing protects prices in various industries, with a particular focus on its application in the automotive industry. In addition, the research will discuss about data-driven design approaches incorporating with artificial intelligence (AI), mainly how these technologies could be used to improve pricing strategies by automating choices and letting prices adjust based on the market. Important things like how to use market trends to our advantage, gather and analyze data, and understand how customers behave, and merchandise sales are the focus areas of the paper. As part of the project, AI could also be used to improve pricing methods. Some of these are prediction analytics, machine learning, and reinforcement learning. We can figure out how to make the most money and guess what prices will be in the future by using algorithms that look at past price data. Finally, the study shows that price strategies that are driven by AI and design that is driven by data can have a big impact on the automotive industry. Businesses in the Automotive industry might be able to boost competition, new ideas, and customer trust by using dynamic pricing systems and staying honest all the way through.

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Dynamic pricing, Automotive industry, Data-driven architecture, AI algorithms, Pricing optimization, Consumer behavior, Ethical considerations, Regulatory compliance

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In recent years, there has been significant rise in the recognition and adaption of Artificial Intelligence and Machine Learning. Now A days Face age progression is becoming a widely used technique in the modern era as it serves numerous applications. Real-time face aging progression using Generative Adversarial Networks (GANs) is an advanced deep learning approach that enables the realistic simulation of facial aging and rejuvenation. Unlike traditional image processing methods, GANs ensure photorealistic results by synthesizing fine-grained details such as wrinkles, skin texture, and facial shape variations. The proposed system can be applied in various fields, including forensics, entertainment, and digital personalization. By implementing real-time processing approach, which ensures instant and seamless age transformation, making it suitable for interactive applications. The integration of advanced deep learning techniques, such as attention mechanisms and progressive training, further enhances accuracy and realism. This study explores the potential of GAN-based face aging progression, highlighting its effectiveness in generating lifelike aging transformations while addressing challenges such as identity preservation and dataset biases. In our project, we will explore and implement face progression over different ages. We will use some frameworks, Libraries in Deep Learning Networks and Python to implement our application. Using Generative Adversarial Networks, we seek to generate older versions of oneself while preserving the identity of the individual. Using Generative Adversarial Networks, we seek to generate older versions of oneself while preserving the identity of the individual.

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Face Aging, Generative Adversarial Networks (GAN), Real Time Image Processing, Age Progression, Deep Learning, Computer Vision.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Digital competition act, Anticompetitive, Digital market, Ex-ante regulation, Systemically significant digital enterprises.

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As internet shopping grows, so does demand for sustainable choices. The Mobile Shopping and environmentally friendly Swapping web application combines mobile purchasing with a durable trade-in mechanism. Buying new and refurbished things and swapping gently used devices, books, and clothing reduces waste and promotes a circular economy. The platform offers personalised recommendations, secure payment mechanisms, and real-time inventory adjustments to improve user experience. It makes sure that traded-in products are ethically recycled or reconditioned by working with recycling facilities including environmental NGOs. The site awards eco-friendly purchases to encourage sustainable spending. This concept aims to easily integrate sustainability into online shopping. The platform integrates technology with ethical consumerism to facilitate convenient and eco-friendly purchase. This strategy emphasises simplicity, long-term viability and scalability to establish a new benchmark for e-commerce.

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Environmentally sustainable transactions, green finance, sustainable purchasing, mobile commerce, secure exchanges, real-time inventory management, AI-augmented procurement, waste reduction, responsible recycling, environmentally aware choices, incentive-driven rewards.

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Over the past few years, AI has revolutionized the creation of ultra-realistic face-swapped images, known as deepfakes. These images have become so convincing that they have often been nearly impossible to detect with the naked eye. While deepfake technology has been used for fun and entertainment, it has also had a dark side. It has spread political misinformation, been used for blackmail, and even created fake news about major events, causing serious harm. To tackle this growing problem, researchers have developed deep learning models to detect deepfakes. In this paper, we have introduced LBPNET, a new model designed to identify fake images more accurately. Our approach has started by analysing the fine details in an image's texture using Local Binary Pattern (LBP) features. These features have helped capture tiny differences that have set real and fake images apart. We have then used a Convolutional Neural Network (CNN) to train the system so it has been able to recognize deepfakes with greater precision.

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 Keywords

Deepfakes , LBP , DEEP LEARNING

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Creative Commons Attribution 4.0 and The Open Definition