Volume 12 | Issue 8

 Abstract

Anita Desai was born on 24 June 1937. She is an Indian novelist. She has been shortlisted for the Booker Price three times. She received the Sahitya Akademi Award in 1978 for her novel Fire on the mountain. The term cultural identity is related to the identity or feeling of belonging to a group. It has the aspects a person's self-conception and self-perception. The reflection of nationality, ethnicity, religion, social class, generation, locality or any kind of social group that has its own distinct culture which forms the cultural identity. Anita Desai's novel Bye-Bye Black Bird (1971) is an instance of the reflection of cultural identity through cultural encounters. The story revolves around two friends Dev, and Adit in London. Adit lives for a longer period in London and married an English woman, Sarah. The alienated Sarah looks for the cultural identity of self in her own land but unlike others, she never withdraws. Desai depicts Sarah's loneliness is different from other heroines because she chooses it deliberately whereas for her other characters its part of their nature.

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REFLECTION OF CULTURAL IDENTITY IN DESAI'S BYE- BYE BLACK BIRD

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Consumer behavior in the context of online shopping encompasses the choices and actions individuals undertake when acquiring products or services via digital platforms. The swift expansion of e-commerce has significantly boosted online shopping, allowing consumers to explore options, compare prices, and complete transactions from the ease of their own homes. Research indicates that various elements, such as product quality, website aesthetics, pricing, convenience, and security, play a pivotal role in shaping consumer behavior in this domain. Additionally, social influences, including customer reviews and recommendations, further impact purchasing decisions. The recent pandemic has further accelerated the trend towards online shopping, as more consumers recognize the convenience and safety it provides. Consequently, businesses have been compelled to modify their marketing approaches to align with this evolving consumer behavior. Ultimately, grasping consumer behavior in online shopping is essential for businesses aiming to deliver a smooth and satisfying online shopping experience, which in turn fosters customer loyalty and enhances profitability.

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E-commerce, purchasing patterns, decision-making processes, Promotional tactics.

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The modern Indian literature is that the representation of every aspect of life. Dalit literature deals with the oppression of Dalits within the Indian scheme. Dalit literatures are noted as a rebellion against the suppression, humiliations by Dalits in past and sufferings continuing even now a day. The motive of Dalit literature is that the liberations of Dalits. The narration of the story of Dalit literatures are purely experienced based. Their shame, anger, sorrow, suppression, sturdy, hopes became a sturdy hand for Dalit literature. In this society marginalized the dalits for various reasons like caste, gender, colour, money, and complexion. Karukku is an autobiographical novel written by Bama, a Tamil Dalit feminist writer from Tamil Nadu, India. The book was first published in 1992 and has since become a classic in Indian literature. It is a powerful narrative that delves into the experiences of Dalit women who are marginalized in a society that is structured around caste and gender.

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marginalized, suppression, humiliations, domination, betrayal.

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The present study was carried out with socio economic construction workers, working in sivagangai district. An attempt has been made in the paper to understand the socio economic condition of laborers, nature of their work, their working conditions, wage pattern, wage discrimination and other difficulties faced by them at their work place. In order to assess the economic status of women construction worker in Sivagangai district, 500 construction workers (60 sampling from each taluk, Sivagangai, Tiruppattur, Devakottai, Karaikudi, Manamadurai, Tiruppuvanam , kalaiyarkovil and Illayankudi,) of Sivagangai district were randomly selected. To analyze wage discrimination and factors influencing the wage of construction workers in Sivagangai district, the proportionate probability sampling technique was adopted. The conditions of work were unsatisfactory and the problems confronted by them were acute. And that their illiteracy, poverty and indebtedness forced them to work for lower wages and under unjust conditions.

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construction workers, working conditions, wage pattern, Construction sector, industrial employees, sivagangai

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Exporters need export funding in order to accept and successfully complete their export orders. For brief intervals before and after the delivery or shipment of an order, export credit is necessary. Pre-shipment export finance is necessary as working capital to complete the production, packing, and delivery of the orders in a timely manner. Post-shipment financial facilities help exporters' businesses while they wait for payments from foreign clients. A significant portion of export financing is provided by commercial banks. By employing a multi-stage sampling technique, the primary data were gathered from 206 bank branches of commercial banks in the Vellore area. The study's sample size is 206. The study's conclusions indicate that banks' inability to monitor the proper use of export credit is one of the biggest issues bankers encounter when authorising such credit.

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Export finance, Commercial banks, Problems

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Social media influencer marketing has become a vital strategy for enhancing brand visibility and credibility, especially for women-led startups in Tamil Nadu. This study investigates how influencer marketing influences the growth and visibility of these startups, focusing on the unique challenges they face, such as budget constraints and finding suitable influencers. Utilizing a sample of 140 respondents, the study integrates both primary and secondary data, employing ANOVA, percentage analysis, and correlation analysis to provide insights into the effectiveness of influencer marketing. Results reveal significant variations in awareness, understanding, and familiarity with influencer marketing processes among different age groups. Notably, significant differences exist in perceptions of influencer relevance, authenticity, and engagement effectiveness. The study also finds weak correlations among various social media platforms, indicating limited cross-platform interrelationships. Recommendations include standardizing collaboration processes, reallocating resources to focus on impactful marketing elements, and fostering organizational learning through influencer marketing. These findings underscore the need for tailored marketing strategies and targeted training to optimize influencer marketing efforts, ensuring that women-led startups can effectively leverage social media to compete and grow in a dynamic business environment.

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Social Media Influencer Marketing, Women-Led Startups, Marketing Strategies, Marketing Effectiveness

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ChatGPT technology is playing a significant role in changing how students interact and engage within the classroom setting, especially during a period characterized by ongoing changes and improvements in education systems. This title highlights the potential impact of ChatGPT in enhancing student participation, learning experiences, and overall educational outcomes within the context of broader educational reforms. The development of Chat GPT technology has been a significant milestone in the field of natural language processing (NLP) and artificial intelligence (AI). Chat GPT, which stands for Generative Pre-trained Transformer, represents a class of AI models specifically designed for conversational interactions.Therefore, this study aims to analyze the Transforming Classroom Engagement in the ERA of Education Reform towards Chat GPT.

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ChatGPT, Technology Development, Educational Reforms, Artificial Intelligence.

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Introduction: The major goal of this paper is to determine how OpenAI'sChatGPT, a complex AI language model, influences how effectively students learn. Objective: The goal of this paper is to investigate the various ways that artificial intelligence can be used to address educational challenges and provide equal utilisation of excellent educational opportunities. Methods: Using a technique that blends quantitative data on the institution's performance with qualitative findings from surveys taken by students. Result: According to the findings, ChatGPT can help students succeed in college. Students' grades are improving, indicating that artificial intelligence is assisting students in understanding and applying what they have learned. New technologies enable students to learn at their own pace by swiftly sharing material and providing comprehensive answers to numerous inquiries. The study also found that ChatGPT can assist students who live far away or have logistical challenges. Conclusion:The findings demonstrated that when the classroom was engaging and inspired pupils to participate, they learned more.

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Chatgpt, Open AI, Educational reforms, Chatbot, Chat GPT model

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The objective of this work is to analyze, feminist viewpoint. Restrictive roles assigned to women as well as the ways in which the authors and challenged and these conventions. The discussion will also deal with double standard of literary criticism and independent female characters. It discusses about the feminist themes and social commentary present in Victorian literature. Through a critical analysis of literary texts, this research reveals the complex and miscellaneous roles of women in Victorian literature, highlighting their struggles, accomplishment, and contributions to the literary canon.

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Franchise, Identity, Social change, Victorian age, Patriarchy.

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Intellectual property rights (IPR) have been defined as ideas, inventions, and creative expressions based on which there is a public willingness to bestow the status of property. IPR provide certain exclusive rights to the inventors or creators of that property, in order to enable them to reap commercial benefits from their creative efforts or reputation. There are several types of intellectual property protection like patent, copyright, trademark, etc. Patent is a recognition for an invention, which satisfies the criteria of global novelty, non-obviousness, and industrial application. IPR is prerequisite for better identification, planning, commercialization, rendering, and thereby protection of invention or creativity. Each industry should evolve its own IPR policies, management style, strategies, and so on depending on its area of specialty. Pharmaceutical industry currently has an evolving IPR strategy requiring a better focus and approach in the coming era.

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A STUDY ON INTELLECTUAL PROPERTY RIGHTS

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Batik art is a textile technique that uses waxes and dyes to create to stunning designs on fabrics such as cotton, silk , linen, and rayon. The process of Batik fabric is in many ways similar to silk painting in that it uses wax instead of resist. The process is relatively straight forward but varies slightly by region. Asian and African artists use unique methods to apply tie-dye art to fabrics. From being worn during traditional ceremonies such as births, marriages and deaths, tie-dye prints have come a long way to become an icon of chic clothing and fashion statements around the world. Everyone loves tie-dyeing for its simple design and delicate art form. Layer them over canvas to create masterpieces, or sew them onto curtains, sofa covers, and quilts to brighten up your office or home.

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Wax, Dye, Textile technique, Batik art, Traditional, Fabric.

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This concept paper explores the domain of philanthropy, focusing on its evolution and the various dimensions of giving. Philanthropy, fundamentally defined as selfless giving, is driven by the principle of altruism. However, in contemporary society, the practice of giving has often taken on a more transactional nature, with expectations of return or personal benefit. While traditional philanthropy has its roots in charity, it has evolved beyond mere charitable acts to encompass a broader understanding of goodwill. Unlike charity, which often involves assessing the worthiness of recipients, philanthropy emphasizes the act of giving without judgment or expectation. However, the commodification of philanthropy has led to a shift where giving can sometimes appear as "the rich giving to the rich," creating a disparity in the distribution of resources. This paper aims to provide a nuanced understanding of philanthropy, examining its various dimensions from individual to community-based giving. By offering insights into different forms of philanthropic endeavors, the paper seeks to enhance readers' awareness of the types of giving they may engage in, encouraging a more reflective and informed approach to philanthropy.

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PHILANTHROPY: AN OVERVIEW OF ITS DIMENSIONS

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As global environmental challenges intensify, the need for innovative approaches in sustainable research has become paramount. This article examines emerging innovations in sustainability, focusing on the transformative potential of technologies and practices across various sectors. From AI-driven environmental monitoring to circular economy models and renewable energy advancements, these solutions offer promising pathways to address pressing issues like climate change, resource scarcity, and ecosystem degradation. The article highlights key case studies and emphasizes the importance of interdisciplinary collaboration and policy support in scaling these innovations for widespread impact.

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Sustainable Research, Innovation, Artificial Intelligence, Circular Economy, Renewable Energy, Environmental Sustainability

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This project delves into the critical realm of combating deep fakes in online networking platforms by employing advanced deep learning techniques. Leveraging Generative Adversarial Networks (GANs) to simulate deep fake generation and utilizing the feature extraction capabilities of Inception ResNetV2, there search aims to develop a robust deep fake detection model. The proposed model undergoes comprehensive training, evaluation, and fine-tuning, with a focus on countering adversarial techniques employed in sophisticated deep fake generation. The study contributes are liable and effective means of discerning between genuine and synthetic content, offering heightened security for online networking platforms. Furthermore, insights gained into adversarial strategies and practical deployment recommendations provide a comprehensive approach to addressing the rising threat of deep fakes in the digital landscape. The proposed model undergoes comprehensive training, evaluation and fine-tuning, with focus on countering adversarial techniques employed in sophisticated deep fake generation.

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EXPOSING DEEP FAKES IN SOCIAL MEDIA PLATFORMS USING GENERATIVE ADVERSARIAL NETWORKS

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In an era where personal health monitoring is increasingly vital, wearable technology has emerged as a powerful tool for proactive wellness management. This paper presents a novel approach to wearable wellness through the integration of machine learning techniques within the Disease Sentinel system. The Disease Sentinel represents a comprehensive wearable device equipped with an array of sensors for real-time biometric data collection. Leveraging machine learning algorithms, the system pre-processes, extracts features, and trains predictive models to analyze the collected data streams. By continuously monitoring physiological parameters, the Disease Sentinel can detect anomalies, predict potential health issues, and provide personalized insights and recommendations to users. Furthermore, adaptive learning mechanisms enable the system to evolve and improve its predictive accuracy over time. Privacy and security considerations are paramount, with robust measures implemented to protect user data throughout the machine learning process. Ultimately, the Disease Sentinel represents a significant advancement in wearable wellness technology, empowering individuals to take proactive control of their health and well-being. This paper introduces "Disease Sentinel," a predictive system harnessing smart watch technology to anticipate a spectrum of diseases, including ischemic heart disease, hypertension, respiratory ailments, thyroid disorders, stroke, myocardial infarction, kidney failure, gallstones, diabetes, and dyslipidemia, employing robust machine learning algorithms."Disease Sentinel" comprises three fundamental modules: a prototype smart watch dubbed "Sense O' Clock," equipped with eleven sensors to capture vital bodily metrics; a machine learning model for data analysis and prediction; and a mobile application to present the prediction outcomes. Adhering to ethical guidelines, patient data, encompassing bodily statistics, was ethically sourced from a local hospital with the prior consent of patients and healthcare providers. The system extends constant support to users, furnishing real-time insights into their health status and recommending necessary interventions. It represents a significant advancement in early disease prediction, enabling the anticipation of multiple disease vulnerabilities before they progress to irrecoverable stages. Finally, we conducted a comparative analysis with existing methodologies to underscore the efficacy of our approach.

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WEARABLE WELLNESS THE DISEASE SENTINEL

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Population expansion, climate change, and digitization are driving up food demand faster than the country's economic growth. Perishable goods are handled more frequently by the food-related businesses, such as fast food chains, restaurants, canteens, and catering services. Organizing consumer food orders is one of the main problems faced by the food-related industry. Occasionally, inaccurate ordering estimates might result in either too much or too little food, wasting both food and raw materials and cutting into profits for the business. In order to ensure sustainable food systems and efficient resource allocation, food demand forecast is crucial. In an era of rapidly rising populations and shifting consumer tastes, accurate food demand forecasting is critical to minimizing food waste, optimizing performance, and enhancing food security. In this quest, machine learning algorithms have proven to be effective tools, with the ability to produce forecasts that are more dynamic and exact. In order to analyze the historical data and forecast the consumption for the upcoming months, we employed the decision tree algorithm. Along with internal variables, machine learning models also incorporate external variables like social events and economic indices.

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Population growth, Food-related Industry, Resource allocation, Food waste, Machine learning algorithms, External variables

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In today's interconnected world, ensuring the security of cloud-based systems is paramount. Traditional intrusion detection systems (IDS) often struggle to keep pace with the evolving landscape of cyber threats. This project proposes a novel approach to enhancing cloud security through the integration of machine learning techniques into intrusion detection. By harnessing the power of machine learning algorithms, our system can adapt and learn from patterns in network traffic data, enabling it to detect anomalous behavior indicative of potential intrusions. Leveraging the scalability and flexibility of cloud computing, our solution offers real-time monitoring and analysis of network traffic across distributed cloud environments. Key features of our cloud-based intrusion detection system include automated threat detection, rapid response mechanisms, and customizable alerting capabilities. Through continuous learning and refinement, the system improves its detection accuracy over time, bolstering the resilience of cloud infra structures against emerging cyber threats. In summary, our project presents a proactive and adaptive approach to safeguarding cloud-based systems, combining the strengths of machine learning and cloud computing to create a robust Defense mechanism against intrusions. Protecting cloud-based systems from unauthorized access, data breaches, and other malicious activities is a critical concern for organizations worldwide. Traditional intrusion detection systems (IDS) often fall short in effectively identifying and mitigating these threats in dynamic cloud environments .To address this gap, our project focuses on leveraging the Random Forest algorithm to enhance cloud-based intrusion detection capabilities. High Accuracy Random Forest excels in handling complex, high- dimensional data and can effectively distinguish between normal and malicious network activities with high accuracy.

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DATA MISMATCH AND ERROR DETECTION USING CLOUD

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The "WEB RENTAL HUB BRIDGING THE GAP IN DIGITAL POSSESSION" web application is designed to provide a platform for users to rent various items and products for a specified period. The application utilizes HTML, CSS, Bootstrap, Java, and SQL to create an interactive and user-friendly interface. The primary goal of the web application is to facilitate the rental process by connecting users who have items available for rent with those seeking to borrow them. The application allows users to browse through a available items, view detailed information about each item, and make rental requests. The front-end of the application is built using HTML, CSS, and Bootstrap, which ensures a visually appealing and responsive design across different devices. The user interface enables easy navigation, search functionality, and intuitive forms for users to input rental information. The back-end of the application is developed using Java, which handles the business logic and data processing. Java provides robust functionality for managing user authentication, item availability, and rental transactions. The application integrates with a SQL database to store and retrieve user data, item details, rental history, and other relevant information. Key features of the "Things Rental" web application include user registration and login, item listing and search, item details and availability, rental request submission, payment processing, and rental history tracking. The application incorporates security measures to protect user information and ensures a seamless rental experience. Hence this application could be very helpful for people in their day-to-day life.

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WEB RENT HUB BRIDGING THE GAP IN DIGITAL POSSESSION

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The Online Parking Booking System is a web-based application developed using Java to facilitate convenient and efficient parking reservations for users. The system aims to eliminate the hassle of finding parking spaces in crowded areas and provide a user-friendly platform for reserving parking slots in advance. This abstract provides an overview of the key features and functionalities of the Java-based Online Parking Booking System. The system allows users to register and create their accounts. Registered users can log in securely using their credentials to access the parking booking functionalities. Users can browse through available parking spaces based on location, date, and time preferences. The system presents a user-friendly interface to view parking options, including details such as location, availability, and pricing. Once users select a suitable parking space, they can proceed to book it for a specific date and time. The system handles reservation requests and ensures that bookings do not overlap, preventing double bookings. The application integrates a secure payment gateway to handle online transactions for parking reservations. Users can make payments using various payment methods, ensuring a seamless booking experience.

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Parking Booking System, Urban Mobility, Sustainable Transportation, Copenhagen, Energy Efficiency

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