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Daily Archives: June 5, 2025

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Super Sonic Glasses

Authors: Deepti Varshney, Ahana Tola, Nasreen Mursal, Pranita Pawar, Bhumika Patil

Abstract: The Super Sonic Glasses assist those that are hard of hearing by transcribing spoken language into text that can be displayed on the device’s screen in real time. This project aims to bridge the gap between those who communicate using visual sign language due to hearing difficulty and other users through better ways of interaction. The system processes spoken words into intelligible text utilizing sophisticated speech recognition methods, which is instantly viewed on a simple, cool design embedded within goggles’ frame. The Sonic Support Goggle integrates sophisticated speech processing and wearable display devices to enhance accessibility and facilitate seamless communication in myriad social and professional settings.

 

 

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Rethinking Workforce Engagement: Integrating AI, Remote Work, And Well-being Into Modern Employee Experience Design

Authors: Parag Goel, Dr. Kirti

 

Abstract: – Organizations in the dynamic intergenerational workplace of today have to reconsider their approach to human resource management. Conventional people management techniques call for a change toward an employee-centric, more all-encompassing paradigm. Leading the way are experimental companies rethinking procedures to foster significant involvement among several employee groups. Beyond providing advantages or designing lighthearted workplaces, the whole employee experience must now be the main focus if we want to inspire more dedication and connection. Giving employee experience top priority as a fundamental component of organizational strategy has clearly had great effects on satisfaction, output, creativity, and company performance. This paper tries to investigate the changing function of employee experience in the modern HR scene. Organizations can increase engagement levels, leverage multigenerational skills, get a competitive edge, and guarantee long-term sustainability by including senior leadership alongside contemporary HR techniques. Future studies possibilities could include empirical validation of suggested models and a closer look into elements affecting and resulting from a good employee experience.

DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.140

 

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Unigin: A Centralized Platform for Real-Time Esports Tournament Tracking, Live Scores, and Streaming Integration

Authors: Assistant Professor Yashanjali Sisodia, Aditya Bheke, Harshal Bhogawade, Malhar Bhoi, Yash Bambale

Abstract: Unigin provides real-time esports tournament updates, ensuring players, organizers, and fans stay informed with live scores, match schedules, and statistics. The platform enhances engagement through instant notifications and seamless data integration across multiple games…

 

 

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The Future Of Java Programing Language: Opportunities, Challenges, And Ethical Implications

Authors: Suraj Choudhary, Mr. Ravi Kumar, Dr. Rajendra Khatana

Abstract: Java is a high-level, object-oriented programming language that has become a cornerstone of modern software development since its inception in the mid-1990s. Designed by Sun Microsystems with the principle of "Write Once, Run Anywhere" (WORA), Java enables developers to create applications that can run on any device equipped with a Java Virtual Machine (JVM), ensuring portability across diverse platforms. Its syntax, influenced by C and C++, promotes code readability and maintainability, making it accessible to a wide range of developers. Java's robust ecosystem includes a rich set of libraries and frameworks, such as Spring, Hibernate, and Java Server Faces, which facilitate the development of web, mobile, and enterprise applications. The language is particularly renowned for its strong emphasis on security, making it a preferred choice for applications that handle sensitive data, such as financial systems and online services. As technology evolves, Java continues to adapt, embracing modern paradigms such as cloud computing and microservices architectures. Its extensive community support fosters continuous innovation, ensuring that Java remains relevant in an ever-changing landscape. This abstract provides an overview of Java's key features, applications, and its enduring significance in the field of programming, highlighting its role as a versatile and powerful tool for developers worldwide.

 

 

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Evolution Of Credit Card Payments And Future Advancements

Authors: Ramya K Cherukuvada, Raghu V Kaspa

Abstract: Credit cards have become a cornerstone of modern financial systems, enabling convenient and secure transactions for consumers and businesses alike. From their humble origins as store-specific charge cards to today's multifaceted digital financial instruments, credit cards have undergone significant technological and regulatory transformation. This research paper explores the historical trajectory of credit card development, evaluates current technological and regulatory frameworks, and examines forthcoming innovations such as artificial intelligence, blockchain, biometric authentication, and sustainability practices. By leveraging a combination of historical analysis and forward-looking insights, this study aims to provide a comprehensive understanding of how credit card payments have evolved and what future advancements may entail.

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The Role Of Artificial Intelligence In Credit Card Fraud Detection

Authors: Ramya K. Cherukuvada, Raghu V. Kaspa

Abstract: Credit card fraud poses a substantial threat to the financial services industry, with billions of dollars lost annually across the globe. Traditional rule-based fraud detection systems are increasingly proving to be inadequate against sophisticated, constantly evolving fraud techniques. The dynamic nature of fraud demands equally dynamic countermeasures, and Artificial Intelligence (AI) has emerged as a highly effective solution. AI-powered fraud detection systems can learn from historical transaction data, recognize patterns, and adapt in real-time to detect potentially fraudulent activities. This paper provides an in-depth exploration of how AI is being leveraged in credit card fraud detection, the machine learning models used, real-world applications, challenges, and the future of fraud prevention technologies.

DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.139

 

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Secure Cross Socket Based Technique by Grouping of Machine Learning

Authors: Assistant Professor Sujata, Professor Dr. Brij Mohan Goel

Abstract: The proposed strategy should increase safety without sacrificing performance. It is being evaluated to determine whether any of the published research has any restrictions in terms of cloud-based software security issues. By using encrypted hybrid technique we can enhance the socket-based performance mechanisms like packet loss, latency rate, probability of error etc. The model suggested in the research is being compared with existing technologies in terms of performance, safety and dependability. This study is meant to investigate the proposed initiative's need, inspiration, and challenges. This research will examine how the intended work will be carried out in the actual world after examining the problem description. The Endeavour's algorithm and mechanism would describe the tools and procedures used in study. In this paper, the results of the study have been presented by the proposed model in such a way that it can perform better than previous studies. There are a variety of approaches you may take to this research, which we'll go over in more depth below. Exploratory studies may yield out new topics. Providing answers to a problem through doing research. Research work considered machine learning approach in order to classify different by of attacks in order to improve the security of hybrid socket based approach.

 

 

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Integrating Weather Data Analytics Into IoT-Based Smart Irrigation Systems For Sustainable Agriculture

Authors: Khadri S S

Abstract: The flourish of Internet of Things (IoT) is leveraging the reform of today’s agriculture, including the development of new intelligent irrigation systems for the management of water resources. The integration of analytics-informed weather information in IoT-enabled irrigation systems enhancing accuracy, sustainability, and farm-level efficiency is examined in the current work. Traditional irrigation methods may rely on rigid schedules or manual manipulation that result in waste, lack of uniformity in the irrigation area, or in an inability to obtain the desired crop yield at the correct time of the year, particularly in areas with variable precipitation.
To overcome these limitations ,the system proposed here leverages a comprehensive network of IoT devices—including soil moisture sensors, temperature and humidity monitors, rain gauges, and weather stations—to gather live environmental data. This information is transmitted using communication protocols such as LoRaWAN, Wi-Fi, or NB-IoT to a centralized cloud environment. There, predictive models and machine learning algorithms analyze weather indicators like rainfall predictions and evapotranspiration rates, cross-referencing them with soil data to inform irrigation needs in real time.
Field evaluations revealed that the smart system cut water usage by 30–40% compared to traditional practices and boosted crop yields by 15–20% by maintaining optimal soil hydration. A user-friendly interface also gives farmers real-time oversight and the flexibility to intervene manually when needed. By combining IoT connectivity, multi-source data integration, and adaptive automation, the system helps farmers navigate extreme weather events such as droughts and sudden rainfall. Its affordable components and scalable design make it suitable for farms of all sizes.
Ultimately, this research highlights how IoT-powered weather analytics can drive more sustainable water use in agriculture, lower operational costs, and contribute meaningfully to global food security. It calls for greater adoption of smart irrigation systems that align agricultural productivity with environmental stewardship.

DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.137



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A Web-Based Platform For Secure And Transparant Transaction In Online Auction Service

Authors: Akshay M Dadas, Nagsen S Bansod, Dr.A.A.Khan, Dr.R.S.Deshpande

Abstract: Customers find online auctions convenient because they can transact from any location yet they face reliability issues due to fraud and false bidding sides a secure online auction platform based on blockchain and smart contracts and encryption features to provide clear and reliable operations to users the systems prototype received testing as a first step the investigation demonstrates that these system technologies enable users to prevent fraudulent practices and ensure data protection along with establishing increased confidence in platform usage.

DOI: http://doi.org/

 

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A Web-Based Platform For Secure And Transparant Transaction In Online Auction Service

Authors: Akshay M Dadas, Nagsen S Bansod, Dr.A.A.Khan, Dr.R.S.Deshpande

Abstract: Customers find online auctions convenient because they can transact from any location yet they face reliability issues due to fraud and false bidding sides a secure online auction platform based on blockchain and smart contracts and encryption features to provide clear and reliable operations to users the systems prototype received testing as a first step the investigation demonstrates that these system technologies enable users to prevent fraudulent practices and ensure data protection along with establishing increased confidence in platform usage.

DOI: http://doi.org/

 

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