VOLUME 11, ISSUE 1, JANUARY 2024

Abstract: This paper deals with the job impact and research strategy for its economic influence by the text-to-image function of ChatGPT (TAG-AI: Text to Art Generative AI), which gives a total impact in many areas because we can implement image and design with ease normal editing works and speak including code development by using huge data and just simple text. Currently, young generations will have a big impact on their job selection because ChatGPT can do as well as humans can design it everywhere. Therefore, education methods and resulting economic impact factors should be rearranged as new curriculums and strategies. Especially, artists, video, photographers, designers, and fashion designers will be impacted by the text-to-image function of ChatGPT. However, the government and officers do not understand well how it is serious in education. This paper provides preparation materials and education methods including ChatGPT through analysing many papers and reports, and experiences about image generations of ChatGPT.

Keywords: ChatGPT, Generative AI, Education, Job replacement, Art creation.

Abstract: Nursing primarily focuses on practical application. The training procedure consists of two components: theory and practice. The primary objective of nursing is to educate and cultivate skilled and proficient nurses who possess the ability to provide service to the general public, the community, and the nation. Nursing students are required to assume a dual role throughout their training programme, which might potentially induce anxiety during their course of study. Undergraduate nursing students often experience concerns such as financial difficulties, course content challenges, and the clinical environment. Stress may lead to a decline in students' academic performance, less focus and concentration in class, feelings of tension, and a lack of engagement with classmates. Emotions are a significant factor in human existence. Emotional maturity may serve as a means for kids to develop strong emotional regulation skills and respond appropriately to different circumstances. Implementing stress management techniques may help students achieve a state of relaxation and improve their psychological well-being. Hand massage may enhance the effectiveness of therapy for arthritis, carpal tunnel syndrome, neuropathy, and other medical disorders. Engaging in a professional hand massage is a prudent expenditure for enhancing one's general well-being. Engaging in a regular self-massage regimen may provide continuous advantages.... Cite: Bamila. N, Dr. Shashi Joyce Soans, Dr. T. Johnsy Rani, "EFFECTIVENESS OF HAND MASSAGE ON REDUCTION OF STRESS LEVEL AMONG NURSES WORKING IN ROTATIONAL SHIFTS", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 1, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11102.

Abstract: Modern agriculture, such as aquaponics, has become a well-known solution nowadays for farming, especially in Asia countries. However, it requires manpower and time to control, maintain, and monitor the system. This is why innovative farming methods are introduced to farmers to help them slowly adapt and mitigate these problems. Thus, the development and innovation of the smart fish feeder and monitoring system device for hybrid aquaponics was developed. This research used a smart automation aquaponic monitoring system that helps the users feed, maintain and monitor the system through manual operations and smartphone application. The device uses DFRobot dissolved oxygen sensor to record oxygen level, PH-4502c for pH, DS18B20 to record temperature, DFRobot analog turbidity sensor to record total dissolved solids and HC-SR04 for water level. The sensors are connected to Arduino Mega and ESP32-CAM microcontrollers for data processing. The collected data is shown in real time on both the liquid crystal display and mobile application of the device, enabling users to manipulate the parameters involved. The application facilitates the monitoring of various parameters in the fish tank, including ammonia levels, dissolved oxygen levels, pH levels, temperature, total dissolved solids, and water level. Additionally, it allows for the control of the actuator responsible for feeding the fish. The recently developed smart fish feeder and monitoring system device for hybrid aquaponics was thoroughly examined and evaluated by twenty-five (25) technical experts specialized in Electrical, Electronics, and related fields. They unanimously rated the design as "Excellent." The construction of the device was "Excellent". In addition, the device's operating performance was rated as "Very Good." In terms of safety, the device obtained an "Excellent" rating. Ten technical experts in the field of information communication technology and Agri-fisheries evaluated the developed application for the monitoring system of the device as "Excellent" in terms of functional suitability, reliability and performance efficiency. The portability, usability and security of the application was evaluated as "Very Good".

Keywords: Agriculture, Aquaponics, Smart, Monitoring System.

Abstract: This study investigates the transformative effects of recent education policy reforms on curriculum design, research methodologies, and strategies for global engagement in the field of education. The evolving landscape of education policies has necessitated a reevaluation of traditional approaches, prompting educators and policymakers to reassess existing practices. The research employs a descriptive approach, and quantitative analyses. It begins by examining the specific policy changes implemented in India, drawing from official government documents and educational reports. Through surveys, interviews, and classroom observations, the study assesses the practical implications of these policies on curriculum development, pedagogical strategies, and student learning experiences. Furthermore, the research explores the integration of technology in education, considering its role in enhancing global connectivity and fostering cross-cultural collaboration. The study also delves into the impact of these policy shifts on research methodologies within educational institutions, focusing on the emergence of interdisciplinary approaches and the utilization of innovative data collection techniques. The findings of this research contribute to a comprehensive understanding of the dynamic interplay between policy reforms, curriculum adaptation, research practices, and global engagement strategies. By evaluating the successes and challenges of these initiatives, this study aims to provide valuable insights for policymakers, educators, and researchers seeking to navigate the evolving landscape of education in the 21st century.

Keywords: National Education Policy (NEP), Pedagogical Strategies, Educational Institutions, Evaluating Changes and Curriculum Structures

Abstract: This paper provides a comprehensive exploration of the Risk Management Framework (RMF) and its application in the context of cloud-based systems. Beginning with an overview of the RMF's significance in contemporary enterprise risk management, the paper systematically details the steps involved in the framework, categorizing them into Risk Assessment, Risk Treatment, and Risk Control. It further delves into the specific challenges and nuances of risk management for cloud-based systems, emphasizing the importance of risk identification, assessment, mitigation, and ongoing monitoring. The paper reviews existing risk assessment models, underscores the need for tailored approaches in cloud environments, and proposes strategies for effective risk mitigation. Additionally, it discusses the significance of real-time risk monitoring techniques, such as log analysis, threat intelligence, anomaly detection, and incident response. The paper also highlights the benefits of adopting the RMF for cloud computing, including enhanced security measures, improved decision-making processes, compliance alignment, and robust business continuity strategies.

Keywords: Risk Management Framework, Cloud Computing, Cybersecurity, Risk Assessment.

Abstract: Asset trackers play a pivotal role in both inventory and identity management, enhancing organizational efficiency and security. In inventory management, these digital identifiers meticulously document a company's assets, minimizing misplacement risks, and ensuring systematic organization. In identity management, asset trackers act as custodians of digital credentials, establishing secure frameworks akin to cryptographic codes, permitting access only to authorized personnel. As workers increasingly become mobile, traditional asset management systems must adapt to accommodate this shift. The Smart Laptop Tracker exemplifies this adaptation, combining a 4G radio with a GPS tracker to provide real-time location and usage statistics. Tamper-proof and lightweight, it reports any unauthorized attempts and utilizes Cell or Wifi Triangulation for accurate location information. The device's simplicity, coupled with the central console's control, ensures reliable positioning of employees or assets, offering valuable insights into system usage statistics. Asset tracking, facilitated by technologies like barcodes, RFID, and GPS, is crucial for efficient, secure, and cost-effective business operations. It prevents loss, aids in preventive maintenance, optimizes resource allocation, and ensures compliance with industry regulations. In a world of mobile workers, innovative solutions like the Smart Laptop Tracker contributes to responsible resource management and data security.

Keywords: Asset Tracking Solutions, Smart Laptop Tracker, Inventory Management, Identity Management, Mobile Workforce Tracking, Indoai, Critical asset.

Abstract: Automated Braking System can automatically start emergency braking if necessary and can also control a vehicle's speed based on school and college zones. Safety is crucial for cars in order to limit the likelihood of collisions in speed-restricted areas.It reduce the loss of lives and property. Recent polls show that over the past few years, accidents near hospitals, schools, and abrupt turns have significantly increased due to people's hasty attempts to reach their destinations. Controlling vehicle speed has therefore been an important factor to take into account. This research report introduces the use of RFID to construct a smart automatic braking system to regulate vehicle speed. A vehicle prototype is created and put into action. The NodeMCU will carry out emergency braking in accordance with a pre-burnt code after the system uses the sonar sensor to detect obstructions. The device also offers options for speed control. To reduce damage or collision from an accident, the vehicle's speed will be decreased or increased based on how close an object is to the moving vehicle. As a result, an automated collision avoidance system that is accessible to everyone is suggested. As a result, every car can now have an automated smart speed control and braking system. After this method is used, accidents will decrease more quickly, and some driver's annoyance will also decrease.

Keywords: Collision, RFID, NodeMCU, Accident zones, Emergency braking.

Abstract: The present study was aimed to compare the level of Anxiety between Aurangabad and Kashmiri physical education students. A total of two hundred [200] subjects were taken, hundred [N=100] were belongs to Aurangabad and hundred [N=100] were from the Kashmiri physical education students from Kashmir were randomly selected for the collection of data. The DASS-21 (1995) level of anxiety was used on Aurangabad and Kashmiri physical education students. 21 items DASS Questionnaire was published In the Lovibond, S.H. & Lovibond, P.E., consists of items on three scales namely, Depression, Anxiety, and Stress. The comparison of the data revealed regarding anxiety between Aurangabad and Kashmiri students shown that significant difference existed when the total group of Aurangabad physical education students is compared with total group of Kashmiri physical education students. the age of the subjects ranging from 18-25 years old. The data collected for the selected psychological component were statistically analysed. The results were expressed as mean ± and standard deviation (S.D). differences between the groups were determined by t-test. The level of significance was set at 0.05.

Keywords: Anxiety, Aurangabad, Kashmir, physical education students.

Abstract: The proliferation of Smart Devices and the Internet of Things (IoT) has revolutionized the way we interact with our surroundings. However, the seamless communication between these devices remains a significant challenge, particularly in dynamic and decentralized environments. This research proposes the integration of Mobile Ad Hoc Networks (MANETs) with IoT to enhance the communication infrastructure for smart devices. The integration aims to address the limitations of traditional communication protocols in scenarios where fixed infrastructure may be unavailable or impractical. MANETs, characterized by their self-organizing nature, provide a dynamic and adaptable solution for establishing ad-hoc networks on-the-fly. This research explores the synergy between MANETs and IoT to create a robust and flexible communication framework. The study investigates the key aspects of integration, including routing protocols, energy efficiency, security, and scalability. Routing protocols play a vital role in MANETs, and adapting them to suit the requirements of IoT devices is crucial for efficient communication. Energy efficiency is a critical concern for IoT devices with limited power resources, and the integration seeks to optimize energy consumption while maintaining reliable connectivity. The proposed integration offers a versatile solution for various applications, including smart homes, industrial automation, and smart cities. Through simulations and real-world experiments, the research aims to validate the effectiveness of the integrated MANET-IoT communication infrastructure in diverse scenarios. The findings of this study contribute to the development of more resilient and adaptive smart device networks, fostering the evolution of the IoT landscape in dynamic and challenging environments.

Keywords: MANET, IoT, LoRa, AODV, OLSR.

Abstract: Due to the knowledge of medicinal plants and their study of scientific chemical principles it may lead to discovery of newer drugs and can also help to reduce the cost of the existing drugs Lantana camara is a weed found throughout the India. Lantana camara has many therapeutic uses and it is identified as a prospective target for the drug discovery. The various parts of the lantana camara plant are used for the treatment of various diseases. The urolithiatic activity, chemical constituents and the other pharmacological activities of the Lantana camara are reviewed in this paper.

Keywords: Antibacterial activity, Wound healing activity, Antiurolithiatic activity and Antifungal

Abstract: Tasar silk get a high acceptance from the Indian consumers due to its rustic look, eco-friendly production process, unique luster and strength in the current market scenario of Vanya Silk Sector. Wet reeled Tasar Silk yarn is currently more advantageous than Traditional practice of Dry reeled Tasar Silk yarn in terms of luster, strength. But there is a limitation of Tasar fabrics in terms of diversified products in different designs, colour combinations. Bleaching of Tasar yarn, fabrics are not bleached scientific manner thus cause an uneven dyeing. In this connection to that in this article an attempt was made to optimize the process parameters to meet the requirement of the Tasar Industry. Bleaching of Wet reeled Tasar Silk Yarn was carried out using Box and Behnken design of experiment with three levels of four independent variables Hydrogen Peroxide Concentration (g/l), Sodium Silicate Concentration (g/l), Boiling Temperature (0C) and duration of boiling (minutes). The effect of independent variables on dependent variables Tenacity (gm/den), Breaking Elongation (%) and Whiteness Index were studied. From the design of experiments, it was observed that 18 cc/l Hydrogen Peroxide (H2O2) of 30% w/v, 5 g/l Sodium Silicate (Na2SiO3) at 900C with 30 minutes time duration facilitates uniform degumming cum bleaching without significant deterioration of tensile properties.

Keywords: Bleaching, Degumming, Elongation, Tenacity, Whiteness Index, Wet reeled Tasar yarn

Abstract: NHC Carbenes are better sigma donor than their phosphines counterpart and the importance of structure variation in the carbene backbone is the key in utilising the silver complexes of these NHC ligands play a crucial role in today's chemistry. Some of the recent catalytic transformations has been reviewed.

Keywords: N-heterocyclic Carbene (NHC), Organometallic Chemistry, Coordination Chemistry.

Abstract: Role of Metal on NHC Carbenes are crucial as the tuning of electronic and steric properties of carbene ligands is the deciding factor in the application of these metal and NHC ligands complexes. The comparison of NHC vs Phosphine based metal complexes is discussed and recent catalytic applications of palladium and ruthenium based NHC ligands are discussed in details.

Keywords: N-heterocyclic Carbene (NHC), Organometallic Chemistry, phosphine-substitutes, ancillary ligands

Abstract: Data Volume and Scalability: The sheer volume of plant-related data, including genomic information, presents challenges in terms of storage, processing, and retrieval. Scalability is a critical consideration as databases continue to grow. Interdisciplinary Integration: Plant databases often require collaboration between experts from diverse fields, including botany, genetics, ecology, and informatics. Bridging these interdisciplinary gaps is essential for comprehensive database development. Sustainability and Funding: Sustainable management of database content is a major challenge.

Keywords: Plantation, Environment, Eucalyptus, Hainan, oil palm plantation, Mapping and monitoring.

Abstract: In the advancing field of rehabilitation technology and human-machine interfaces, surface electromyography (sEMG) has emerged as a critical non-invasive method for interpreting human intentions, particularly in developing advanced prosthetics and silent speech recognition systems. However, despite its potential, challenges such as noise interference and the necessity for precise electrode placement have constrained its accuracy. This paper explores the application of advanced deep learning (DL) models, including Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Deep Neural Networks (DNN), and Convolutional Neural Networks (CNNs) in both 1-dimensional (1D) and 2-dimensional (2D) formats to improve the interpretability of sEMG signals for silent speech recognition. The proposed setup utilized a multithreading queuing (MTQ) based novel three-channel low-cost sEMG data acquisition system for English vowel recognition. The two channels are responsible for collecting and extracting data, while the third channel helps visualize data in real-time. It involves data acquisition using disposable electrodes across key facial muscles, followed by employing a range of DL models to process and classify the sEMG signals. Our findings suggest that advanced DL models, particularly the CNN-2D model, outperformed other state-of-the-art methods by achieving 90% accuracy in vowel recognition, showcasing the potential of deploying low-cost hardware with new predictive paradigms in sEMG analysis.

Keywords: Surface Electromyography (sEMG), Silent Speech Recognition, Deep Learning Models, Rehabilitation Technology

Abstract: Purpose- For the garment industry proper utilization of machines & manpower is very important to make a profitable business in this competitive global market. The man-machine ratio (MMR) gives an indication to the management about the indirect cost of the factory. Higher MMR can be a cause of low profit margins. However, there was not any standard MMR for the factory. It depends upon various factors like product type, machine type, production system, etc. Eliminating the waste from the process can help to reduce the manpower. However optimum use of the manpower can lead to optimum MMR. Methodology- A kid's wear manufacturer's data is considered for this project. Understanding the department involved in that factory. How each department contributes to the factory MMR. Understand the product portfolio & take three main products that consume 80% of the total production time that the factory has. Eliminate some waste from the process & implement new processes. Analysis & comparison before the new process & after the new process data. Findings- In a few operations, it has been found that the garments have been overly processed & that doesn't create any value addition. Removing that waste will give a better MMR score for the factory. In this project, 38 manpower are reduced from the current process by reducing one of the Muda (over-processing). By this study, it has been found that MMR is optimized from 2.10 to 1.99. This helps the factory become more cost-effective by reducing the cost of 60 lakh per annum. Keywords- Man-machine ratio, Garment industry, Kid wear, Profitability, Kaizen. Cite: Sourav Ghosh, "OPTIMIZING THE MAN-MACHINE RATIO TO MAKE THE FACTORY MORE COST-EFFECTIVE", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 1, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11116.

Abstract: This compilation of research papers delves into various facets of agricultural technology, offering innovative solutions to diverse challenges. The papers cover topics such as optimized fruit recognition through Evolution Strategy, a smart agriculture system for automatic fruit grading, and an Ensemble Machine Learning Model to identify healthy and rotten fruits, reducing global food waste. Methodological approaches using technologies like Convolutional Neural Networks and infrared technology are presented for tasks such as determining harvest time, disease detection, and quality assessment. The research also explores climate change's impact on fruit tree phenology and proposes an information architecture for the BC Tree Fruit industry to enhance Precision Agriculture adoption. Collectively, these papers contribute significantly to sustainable and efficient farming practices, addressing crucial issues in the agricultural sector.

Keywords: Automatic Food Grading, Ensemble Machine Learning Model, Infrared Technology, Quality Assesment, Image Saliency, Clima Tree Tool, Sustainable Farming Practices, Phenological Stages.

Abstract: Cultural heritage is the tangible and imperceptible heritage passed from generation to generation by a group of people or society. Not all inheritance is inheritance. Rather, inheritance is the product of social choice. This includes cultural assets such as buildings, monuments, landscapes, archives, books, works of art and artifacts. It also includes intangible cultural heritage such as stories, traditions, language and knowledge, as well as natural heritage such as cultural heritage, site significance and biodiversity.

Keywords: History, Architecture, Economy, Tradition, Ancient Dynasties, Civilization Enterprise.

Abstract: This project addresses insomnia with Night Jasmine and explores the intricate process of natural dye extraction centered around Nyctanthes arbor-tristis, commonly known as Night Jasmine. The journey begins with carefully collecting, washing, and shadow-drying Night Jasmine flowers. Subsequently, the dried flowers undergo grinding to create a powder, initiating two distinct dye extractions. One mixture incorporates pomegranate peel powder, while the other utilizes Terminalia chebula. The chosen material serves as the canvas for the curtains crafted through meticulous dyeing and shadow-drying processes. This cotton fabric becomes a vital element in the visually pleasing synthesis of botanical richness. A defining aspect of these curtains is the incorporation of the soothing aroma from Night Jasmine, specifically aimed at providing benefits for individuals struggling with insomnia. The specially crafted curtains not only offer an aesthetically calming environment but also emphasize the unique synergy between traditional dyeing techniques and the therapeutic utilization of botanical resources. In essence, this project seeks to contribute to insomnia relief by combining the natural properties of Night Jasmine with the artistry of traditional dyeing methods, resulting in curtains that enhance both visual appeal and well-being.

Keywords: Insomnia relief, Nyctanthes arbor-tristis, Pomegranate peel powder, Terminalia chebula, curtains, Soothing aroma, Traditional dyeing techniques, Therapeutic utilization.

Abstract: In the modern era, social media is not only used for social interaction but also for doing business. Social media helps in increasing the connectivity of business with customers. The purpose of the study is to explore the role of social media in increasing business opportunities. This study is based on a descriptive research design. The researcher collected the data from different published sources such as Magazines, Websites, and research papers which were published in Scopus, UGC Care, and Google Scholar. Social media provides businesses with vast opportunities for marketing, brand building, and customer engagement. This study explored the relationship between social media and business opportunities. Through Facebook, Twitter, and LinkedIn, platforms companies get the benefit of reaching many consumers. The Findings of this study reveal that through social media businesses may experience higher brand visibility. Effective uses of social media help businesses increase customer engagement and global market reach, and positively impact sales of business. This study will be beneficial for businesses and marketers. They can expand their business through social media platforms. Businesses may timely understand the potential risk associated with negative feedback or public opinion on social media.

Keywords: Social Media, Business Opportunities, Market Expansion, Business Risk.

Abstract: This review explores the crucial role of efficient irrigation systems in addressing water scarcity. It highlights the limitations of traditional canal networks and proposes piped irrigation networks as a superior alternative due to their enhanced water use efficiency. The passage then delves into various methodologies for optimal irrigation pipeline route planning and design, emphasizing the use of Geographic Information Systems (GIS) and least cost path analysis. The paper explores the application of least cost path analysis, leveraging Geographic Information Systems (GIS) technology. This method factors in diverse aspects like topography, soil properties, and spatial constraints, leading to the identification of the most economical route for pipeline installation. Furthermore, the potential of image classification using satellite imagery is discussed. By categorizing land cover features such as vegetation and buildings, this technique provides valuable insights for informed decision-making during pipeline route planning. Additionally, the paper investigates the potential of machine learning techniques like spatial clustering. This approach allows for the grouping of similar areas based on various factors, further aiding in the optimization of pipeline routes. By showcasing the cost-saving benefits of these advanced techniques compared to traditional methods, the study emphasizes their significance in achieving sustainable water management practices.

Keywords: Pipeline Distribution Network (PDN), Geographic Information Systems (GIS), Least Cost Path (LCP), Image Classification, Spatial Clustering, Genetic Algorithm.

Abstract: Since the oil and gas sector has a complex structure with large capital requirements, demand-supply chain decision-making must be accurate and effective. This study utilizes Dynamic Capabilities Theory to investigate how big data analytics can influence supply chain decision-making in the construction sector. By adopting the Interpretive Phenomenological Analysis (IPA) approach in narratives of select studies from 2020-2024, the study emphasizes on advantages related to real-time analytics and its utility for demand forecast with enhancement of inventory management besides revealing reduced risk through big data analysis. Results showed the key benefits found when big data analytics are implemented compared to traditional practices which include advanced flexibility and operating effectiveness. However, this report notes the major challenges and hurdles to adopt HIPs include issues related with data integration, dependencies on an excessive number of resources and technological complexity. This, the conclusion emphasizes that despite its transformative potential in big data analytics aspects of implementation remain significant barriers and structured approach to overcoming these barriers are needed through strategic planning with improvement over time in this space considering new practices for managing large stores of data.

Keywords: Big Data Analytics, Supply Chain Decision-making, Dynamic Capabilities Theory, Risk Management

Abstract: The Sarbanes-Oxley (SOX) Act in the United States has fundamentally changed the Western World's business regulatory environment. The Act itself aims to enhance corporate governance through measures that will strengthen internal checks and balances and, ultimately, strengthen corporate accountability. However, it is important to emphasize that the Act not only requires that senior management and business process owners establish and maintain an adequate internal control structure, but also assess the effectiveness of such control(s) on an annual basis. It is against this background that this dissertation considers the formulation of a suitable set of strategies in the form of a policy document to act as a tool to assist and guide management and owners in implementing general Information Technology /Information System controls in a SOX compliant environment.

Keywords: Information Technology, Sarbanes-Oxley, Business Regulation, Corporate Accountability

Abstract: This research investigates how Heritage Foods Limited's dairy marketing in Hyderabad uses nostalgia to shape consumer attitudes and loyalty. Nostalgia marketing - linking a brand to past memories - is found to establish strong emotional connections by drawing on shared cultural experience. To test this in practice, we look at Heritage Foods' marketing materials (e.g. retro imagery, nostalgic Flavors) and carry out a consumer survey in Hyderabad. The mixed-method design involves content analysis of the ad campaigns of Heritage and questionnaires assessing consumer engagement, emotional response, and purchase intention. This is an important research topic since emotion-based branding is a major trend: nostalgia cues are able to stimulate feelings of comfort and trust and are expected to improve engagement. For instance, Heritage's own "nostalgic journey" product launches - ice-lollies in traditional Indian Flavors (Kala Khatta, Gol Gappa) - are specifically formulated to "evince fond childhood memories". This insight into how those cultural reminders register in Hyderabad's market (with its strong food and family heritage) informs today's marketing efforts.

Keywords: Effectiveness, Nostalgia, Marketing, Customers, Milk Products, Hyderabad City.

Abstract: The Rise of digital technology has reshaped how businesses connect with their customers, moving interactions from traditional storefronts to online spaces. Marketing approaches have evolved to include tools like social media engagement, search engine visibility, AI-based suggestions, email promotions, and tailored advertisements. Major online retailers such as Amazon have embraced these tools to increase customer interaction, make the buying process smoother, and offer a more convenient and customized shopping journey. In the city of Hyderabad, which is quickly becoming a major urban hub in India, the use of digital platforms has grown significantly. Factors such as widespread internet access, increasing mobile usage, and a tech-literate population have contributed to this trend. Amazon has responded by using modern marketing techniques to better serve the diverse needs of consumers in the region. This study aims to explore how these digital initiatives affect customer satisfaction and influence shopping behaviour within Hyderabad. As the number of online shoppers continues to grow, it is essential for businesses to understand how digital marketing affects customer experiences. While research has shown that engaging customers online can build loyalty, there is still a need to study how this works in specific local markets. Amazon's strong position in the Indian market makes it a fitting example to investigate how digital tools can improve the customer experience in a city that is rapidly embracing digital change.

Keywords: Digital marketing evolution, e commerce experience, customer behaviour, Amazon.