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An Overview of Textual Sentiment Analysis and Emotion Recognition

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An Overview of Textual Sentiment Analysis and Emotion Recognition/strong>
Authors:-Pallavi Suryavanshi, Dr Sunil Patil

Abstract-Opinion mining, another name for sentiment analysis, is a crucial task in natural language processing (NLP) that enables the extraction of subjective information from text. Sentiment analysis can use machine learning algorithms to classify opinions in text into three categories: neutral, negative, and positive. In the Internet age, social networking sites have grown rapidly, making them an essential tool for communicating emotions to individuals all over the world. Many people use music, video, photos, and text to express their ideas or perspectives. Sentiment analysis is inadequate in certain applications; therefore, emotion detection is necessary to accurately ascertain a person’s emotional and mental condition. The degrees of sentiment analysis, different models, and the steps involved in sentiment analysis and emotion detection, challenges faced are all explained in this review study.

DOI: 10.61137/ijsret.vol.10.issue6.421

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AcademEase: Revolutionizing Online Assignment Management for Enhanced Academic Efficiency

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AcademEase: Revolutionizing Online Assignment Management for Enhanced Academic Efficiency/strong>
Authors:-Chethan M S, Associate Professor Dr S R Raja

Abstract-The traditional methods of managing assignments are steadily becoming outdated due to their numerous drawbacks, including inconvenience, inefficiency, and a lack of accuracy. These limitations have prompted a growing need for more effective solutions in the educational domain. With the rapid advancement of web technologies, web-based management systems have gained significant traction and are being widely adopted across various sectors. This paper presents a novel AcademEase: Revolutionizing Online Assignment Management for Enhanced Academic Efficiency that not only integrates the most effective features of existing commercial systems but also introduces innovative functionalities tailored specifically for modern assignment management needs. The proposed system addresses critical gaps in traditional practices by offering a comprehensive platform designed to streamline assignment handling processes for both administrators and students. Key features of the AMS include a user-friendly interface that simplifies the user experience, ensuring that assignments are managed in a convenient, efficient, and systematic manner. Furthermore, the system is designed with a high degree of portability and extensibility, making it adaptable to various educational environments and capable of evolving with future technological advancements. To safeguard sensitive data and ensure secure operations, the system incorporates robust, multi-layered security strategies that enhance its overall reliability. By leveraging the power of web technologies, this innovative system not only improves assignment management workflows but also sets a new benchmark for efficiency, usability, and security in academic institutions. This paper delves into the design, functionality, and benefits of the AMS, showcasing how it effectively meets the demands of modern educational practices.

DOI: 10.61137/ijsret.vol.10.issue6.420

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AI with a Human Touch: Innovating E-Commerce through Emotion-Sensitive Technologies

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AI with a Human Touch: Innovating E-Commerce through Emotion-Sensitive Technologies/strong>
Authors:-Umamageswari.GS, Associate Professor Dr S R Raja

Abstract-The swift advancement of artificial intelligence (AI) has dramatically altered the e-commerce landscape, allowing companies to improve customer experiences through increasingly customized and emotionally responsive methods. E-commerce platforms can now offer tailored interactions that connect with customers on an emotional plane by utilizing AI to identify and react to their emotional states, whether through written, spoken, or behavioral indicators. Emotion-cognizant AI systems can comprehend sentiments expressed across various contact points, including chatbots, customer support exchanges, product suggestions, and individualized marketing efforts. These AI systems employ sentiment analysis, natural language processing, and emotional intelligence algorithms to modify response promotions, and product recommendations based on weather a customer is content, irritated, perplexed, or enthusiastic. Consequently, customers receive highly personalized and empathetic interactions that boost satisfaction, build trust, and increase conversion rates. This study examines the newest innovations in AI-powered emotional intelligence for e-commerce, its capacity to enhance customer engagement, and its ramifications for businesses aiming to improve customer loyalty through a more profound understanding of emotional dynamics.

DOI: 10.61137/ijsret.vol.10.issue6.419

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Enhancing Software Quality through Automation Testing

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Enhancing Software Quality through Automation Testing/strong>
Authors:-Associate Professor Dr.S.R. Raja, Research Scholar B. Karthigeyan

Abstract-Web automation testing has become an essential component of modern software development, enabling developers to ensure the quality, functionality, and performance of web applications. It leverages automated tools and frameworks to perform repetitive and complex testing tasks, thereby reducing human error and speeding up the development lifecycle. This paper explores the methodologies, tools, and advancements in web automation testing, presenting a proposed system designed to enhance efficiency and reliability. Through an experimental prototype, we demonstrate the effectiveness of the proposed architecture in streamlining testing processes. The paper also addresses the challenges faced in script maintenance, scalability, and adaptability of automated tests in dynamic web environments. Finally, we outline future directions for research in this domain, emphasizing the role of AI and real-time analytics in shaping the next generation of automation testing tools.This paper explores the methodologies, tools, and advancements in web automation testing, focusing on overcoming challenges like script maintenance, handling dynamic elements, and frequent application updates. Through an experimental prototype, the proposed system demonstrates improved efficiency by integrating modular test designs and advanced reporting mechanisms.

DOI: 10.61137/ijsret.vol.10.issue6.417

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The Role of Heavy Metals in Disrupting Intercellular Communication via Exosomes

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The Role of Heavy Metals in Disrupting Intercellular Communication via Exosomes/strong>
Authors:-Talha, Usama Zahoor, Faseeh Ur Rehman, Muhammad Usama, Muhammad Shafique, Atif Ali, Ahmad Abid, Muhammad Faisal Ramzan, Muhammad Abdullah Sohail, Muhammad Zubair

Abstract-Small extracellular vesicles secreted by most cell types have been crucial for intercellular communication in transferring biologically active molecules, such as proteins, lipids, and RNA. The vesicles regulate the physiological processes that contribute to pathological conditions such as cancer. Exposure to heavy metals, including arsenic, cadmium, and lead, disrupts communication by interfering with the biogenesis of exosomes, the cargo that is transferred within them, and their release. This review discusses the molecular mechanisms through which heavy metals affect exosomes, their downstream effects on recipient cells, and the potential of exosome-based biomarkers for detecting and mitigating heavy metal toxicity. The discussion also brings out therapeutic opportunities and future research directions.

DOI: 10.61137/ijsret.vol.10.issue6.416

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Analyzing the Loss of Sound Transmission for a Rectangular Cross Section Muffler with a Different Aspect Ratio in Same Gas Volume

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Analyzing the Loss of Sound Transmission for a Rectangular Cross Section Muffler with a Different Aspect Ratio in Same Gas Volume/strong>
Authors:-Associate Professor Amit Kumar Gupta

Abstract-The measurement of the acoustical transmission loss of an expansion chamber muffler with a rectangular cross section and different cross section aspect ratios is presented in the study. An essential component of noise management for reducing noise from gas flow sources, such as machinery exhaust, is a muffler, also known as a silencer. As a component of an internal combustion engine’s exhaust system, mufflers are usually placed along the exhaust pipe to lessen noise. One-dimensional waves are utilized as simulation tools.

DOI: 10.61137/ijsret.vol.10.issue6.415

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Intelligent Baby Monitoring System Using Raspberry Pi and Sensors

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Intelligent Baby Monitoring System Using Raspberry Pi and Sensors/strong>
Authors:-Sankalp shant, Shreelekha K, Siri Vennela KS, Tanya Raj, Dr .Nirmala S

Abstract-With the increased demand for advanced childcare solutions, the development of an intelligent and reliable baby monitoring system using the versatile Raspberry Pi has been encouraged. This project is focused on creating a comprehensive monitoring solution that prioritizes the safety and well-being of infants through the integration of sophisticated audio monitoring and environmental sensing capabilities using various sensors. This new system utilizes the central processing unit Raspberry Pi 4 Model B and interfaces nicely with high-quality microphone capability to pick up sound; it comes equipped with environmental sensors capable of monitoring essential conditions in temperature and humidity. The functionalities are advanced and include motion detection, which notifies caregivers upon any baby movement, while cry detection informs caregivers of a crying baby within seconds of its cry. A two-way audio system that connects caregivers with their children can converse and communicate with the baby real-time, providing yet another level of interaction and comfort. The application will be designed so that parents or guardians, through a mobile application, can have instant alerts when their baby’s condition arises from virtually any location. This system was designed to be cost-effective and easy to set up; it can be highly scaled to meet the needs of the users. There is always an integration for push notifications via mobile devices. By incorporating these advanced features and focusing on user-friendly design, this baby monitoring system represents a significant advancement in the realm of smart parenting tools, addressing the critical need for reliable and intelligent childcare solutions in contemporary households.

DOI: 10.61137/ijsret.vol.10.issue6.414

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Role of Data Mining and AI on Human Health

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Role of Data Mining and AI on Human Health/strong>
Authors:-Dharmendra Kumar Nagrani, MR.B.L.Pal

Abstract-Data Mining and AI are revolutionize the medical field by providing enhanced understanding of disease trends, increasing accuracy in diagnosis, and driving the development of tailored healthcare solutions. This document investigate into how data mining and Artificial intelligence methodologies influence various dimensions of human health, with an emphasis on predictive analytics, diagnostic imaging, real time health tracking, and customized treatment options. Techniques in data analytics, including categorization, grouping, and rule based mining, are utilized on extensive data sets, assisting healthcare professionals in making informed data centric choices for disease prevention and management. AI techniques, featuring ML and deep learning frameworks , significantly improves diagnoses, particularly within medical Imaging, where these models showcase remarkable accuracy in detecting diseases at early stages. In addition, wearable technology and mobile health platforms offer continuous data for ongoing health assessment, facilitating timely medical interventions. Nonetheless, applying data mining and AI in healthcare, introduces challenges, especially concerning data privacy, interpretability of models and ethical issues. This research addresses these hurdles and proposes strategies to bolster data protection, enhance model clarity, Forster patient confidence. With ongoing progress and mindful applications, data mining and Artificial intelligence present considerable potential for enhancing health outcomes, supporting preventive measures and leading to individualized and precision medicines.

DOI: 10.61137/ijsret.vol.10.issue6.413

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AI-Based Framework for Predicting Quantum State Transitions in Topologically Protected Material

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AI-Based Framework for Predicting Quantum State Transitions in Topologically Protected Material/strong>
Authors:-Soundhariya Ravi, Associate Professor Dr S R Raja

Abstract-Quantum state transitions in topologically protected materials have garnered significant attention for their potential applications in quantum computing, spintronics, and material science. Predicting these transitions under varying external conditions remains a challenge due to the intricate interplay of quantum effects and topological invariants. This study proposes an AI-based framework that leverages deep learning techniques to predict quantum state transitions in such materials with high precision. The framework utilizes a custom neural network architecture trained on data derived from simulations and experimental results. By incorporating topological invariants and environmental variables as features, the model accurately predicts phase transitions and provides insights into the factors driving them. The results demonstrate over 95% prediction accuracy, outperforming traditional simulation methods in terms of computational efficiency and scalability. This work lays the foundation for integrating AI into quantum materials research, offering tools for designing next- generation quantum devices.

DOI: 10.61137/ijsret.vol.10.issue6.412

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Revolutionizing Neonatal Care: The Role of Embrace Innovations in Addressing Infant Mortality in Resource-Constrained Settings

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Revolutionizing Neonatal Care: The Role of Embrace Innovations in Addressing Infant Mortality in Resource-Constrained Settings/strong>
Authors:-Ashish Pattnaik, Rishika Patwari, Rishi Kumar Karnani, Aayushman Joshi

Abstract-This paper explores the innovative business model of Embrace Innovations, a social enterprise committed to tackling the critical issue of infant mortality in resource-constrained settings, especially in India. Founded with the mission of offering affordable and effective infant care solutions, Embrace has developed the Embrace Infant Warmer as a cost-effective alternative to traditional incubators. In analysing the operational strategies, market dynamics, and impact of Embrace’s products on neonatal health outcomes, the study uses a mixed-method approach through applying qualitative and quantitative research methods. Conducting in-depth interviews and surveys with relevant stakeholders which lead to important discoveries about how Embrace was able to effectively penetrate these markets through its unique value proposition: affordability, portability, and user-friendliness. The paper discusses the challenges of the organization, such as high maintenance costs and regulatory compliance issues. Ultimately, this research would highlight the potential for Embrace Innovations to transform infant healthcare through continuous innovation and strategic partnerships, thereby contributing significantly to reducing infant mortality rates globally.

DOI: 10.61137/ijsret.vol.10.issue6.411

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