Volume 13 | Issue 5 |

 Abstract

Our holiday amusement parks have not yet evolved to the level of Disneyland resorts, and this framework focuses on addressing this gap. This solution was developed based on the real-life needs of a specific adventure park and the combination of existing technologies using an interdisciplinary approach. It provides real-time mapping merged with dynamic weather monitoring, self-updating smart queue systems, and tailored itinerary generation. Furthermore, it allows integrating gateways for weather APIs and payment processing systems along with other necessary services such as Virtual Queues, smart payment processing, and comprehensive weather API integration. The React and Spring frameworks are utilized for the frontend and backend, respectively, allowing for seamless optimization of operations in a unified system. Anticipatory computing combined with edge computing enables meeting the set tasks improving performance metrics like 28% enhanced visitor satisfaction, 35% more actively participated activities, and 40% lesser waiting time. The paper showcases the methods, system design blueprint, system framework, and empirical data from the initial testing. The study adds to the already existing scholarship on digital transformation in experiential tourism with practical implications for park operators contemplating the adoption of new technologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Adventure Park System (SAPS), Digital Transformation, Queue Management, Real-time Monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud adoption has transformed banking services, enhancing efficiency, security, and customer satisfaction. This study examines the impact of cloud-based solutions on customer experience at Union Bank, focusing on key factors such as service reliability, digital banking experience, scalability, innovation, and customer support. Findings reveal that seamless mobile app usage, technological advancements, and responsive customer service play crucial roles in shaping satisfaction. Scalability and flexibility further improve service adaptability, ensuring smooth banking operations. Innovation and automation enhance security and efficiency, strengthening Union Bank's competitive edge. While cloud adoption has significantly improved banking services, some variability in customer experiences remains. The study highlights the need for continuous digital improvements to maintain customer trust. Prioritizing technology, service quality, and support will be key to sustained customer satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Adoption, Cloud Computing, Digital Transformation, Customer Support Technology Adoption, Customer Loyalty, Customer-Centric Cloud Transformation, Cloud Scalability in Banking, Cloud Service Reliability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores how Learning Engagement Theory supports the development of deaf and mute children through games and activities at the Manovikas Charitable Trust - Ramanlal Gulabchand Shah Special Education and Rehabilitation Centre. Using qualitative and observational methods, the research highlights how interactive, non-verbal learning strategies--such as visual, tactile, and physical activities--enhance cognitive, emotional, and social growth. It emphasizes the value of adaptive teaching tools like sign language, cued speech, and physiotherapy in fostering communication, teamwork, and problem-solving. The findings affirm that engagement-based approaches play a vital role in promoting inclusive, holistic development for children with hearing and speech impairments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Learning Engagement Theory, Deaf and Dumb Children, Special Education, Interactive Learning, Inclusive Education.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns. However, the lack of a seamless charging experience remains a major hurdle in their widespread adoption. This paper presents "Plug & Go," a mobile application designed to streamline the EV charging process by providing real-time charging station availability, seamless payment integration, and user- friendly navigation. By leveraging modern software development approaches, including Agile methodology and cloud-based services, Plug & Go enhances user convenience and promotes sustainable transportation.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electric Vehicles (EV), EV Charging Station, Mobile Application for EV, Real-Time Station Availability, Smart Charging, EV Payment Integration, Charging Slot Reservation, EV Navigation System, Sustainable Transportation, IoT in Electric Vehicles, Agile Development, Razorpay Payment Gateway, React Native EV App, Cloud-Based EV Services, Green Mobility Solutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Polyhydroxyalkanoates (PHAs) are biopolymers synthesized by numerous microorganisms as carbon and energy storage entities in the cell under conditions of limited nutrients and excess carbon source. These biopolymers are now of great interest for being biodegradable and biocompatible constituents for plastic materials that are considered eco-friendly alternatives for conventional petroleum-based plastics. Accordingly, any effort directed toward the isolating and characterizing of PHA-producing microbes is an important step toward improving the efficiency and commercialization potential of bioplastic production. In this review, we address different techniques used for the isolation of the potential PHA producers from various sources of environmental samples, such as soil and water to marine ecosystems. Standard screening techniques like Sudan Black B staining and Nile Blue A staining alongside modern molecular and genetic tools are discussed for the confirmation. Morphological, biochemical, and molecular characterizations further contribute to the identification of some chemically and physically robust strains that may possess certain industrial advantages. This review therefore emphasizes the importance of traditional culturable and advanced genomic methodologies on the selection of high-yielding putative microorganisms that are tolerant to environmental stressors. Research on PHA-producing microorganisms will thus bring forward greener technologies and eventually allow for the engineering of microorganisms for better biopolymer synthesis.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PHAs, Biopolymers, Eco-friendly plastics, Petroleum-based plastics, Sudan Black B staining

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Skin disease and skin cancer diagnosis primarily depend on manual examination by dermatologists, a process that is often time- consuming, subjective and susceptible to human error. Delays in detection and limited access to specialists can result in severe health complications. To address these limitations, this work presents an AI-powered diagnostic system for automated skin lesion detection and classification using advanced deep learning techniques. The system integrates real-time image analysis, precise segmentation of affected regions and automated classification to facilitate early and accurate disease identification. A Swin UNet architecture is employed to achieve high-precision lesion boundary masking, a critical component in accurate dermoscopic diagnosis. To enhance classification accuracy, a transformer-based model specifically the Swin Transformer is implemented to capture fine-grained lesion features effectively. The ultimate objective is to refine the system for reliable clinical deployment, ensuring consistent support for early and accurate skin lesion diagnosis. Through the integration of AI and deep learning, this approach seeks to enhance diagnostic precision and expand access to high-quality dermatological care.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skin Lesion Analysis, Deep Learning, Swin UNet, Swin Transformer, Lesion Segmentation, Skin Cancer Classification

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Permanent Account Number (PAN) Card is an important document that serves as an identification tool for many more purposes like tax payment, verification medium in banks, companies and in other government services in India. However, with the increasing demand for PAN Cards, fraudulent activities involving fake PAN Cards have also increased. To address this issue, a system for detecting fake and real PAN Cards using Convolutional Neural Networks (CNN) is proposed. The proposed system uses a dataset of real and fake PAN Cards to train the CNN model, which can classify PAN Cards as real or fake with high accuracy. The model is designed to extract relevant features from the PAN Card images and use them to distinguish between real and fake ones. The proposed system has the potential to provide an efficient and reliable solution to the problem of detecting fake PAN Cards, which can help prevent tax fraud, duplication detail of other person etc. and improve the overall integrity of the tax system in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Convolution Neural Networks, Real, Fake, Image Processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Power infrastructure, which includes transmission lines, wires, mobile phone towers, and power towers, is a distinctive anthropogenic structure in terms of material composition, design, and continuity that provides avian animals with artificial habitat for breeding and roosting. The purpose of this study was to determine the variety, quantity, and behavior of birds that use power structures as man-made habitat. Across various species and regions, birds are increasingly utilizing transmission towers as nesting sites, a trend driven by habitat degradation and the availability of these man-made structures as alternative nesting locations Elevated vantage points and reduced threats from ground predators make these towers attractive to certain bird species. However, this behavioral adaptation poses risks both to avian populations and to power infrastructure. As natural habitats such as wetlands, forests, and farmland are rapidly replaced by urban infrastructure--roads, bridges, power lines, and communication towers--the ecological dynamics shift accordingly. While some structures inadvertently support wildlife by providing shelter and breeding spaces, their proliferation raises concerns about long-term environmental impacts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

transmissions towers and power lines

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Market are managed by entirely unexpected regulative component. one among the vital goals of the component is to strike a reasonable harmony between the clashing interests among the shifted partners. Free market works mechanically because of unregulated offer and request of essential wants while not plenteous intercession of the administration Thus, amid this component, the business visionaries summon the market. The nonattendance of impartial regulative measures at last damages the clients. Managed advertise system is a considerable measure of practical instrument than the past, since the most objective amid this component is to affirm that every one the fundamental wants of the benefactor are met and along these lines the business person's interests are accomplished. The enactments are one among the main components of regulative system that in its included territories attempts to adjust between the free play of imposing business model rights and interests of the general public. Protected innovation Rights (IPR) comprises of a heap of lawful rights exhibited upon the proprietor of elusive property to store up the imposing business model to use financially his scholarly manifestations. Rivalry Law manages rivalry so there's no antagonistic outcome available. This paper centers that the targets of laws on IPR and Competition law are closer to each option in to this point as draping a harmony between the interests of the right holders and accordingly the clients and along these lines the general public. Products and the costs of the product are largely motivated by way of the forces controlling deliver and demand together with the monopolistic behaviour of the producers. within the given state of affairs, the manufacturers comes to a decision the quantity of their merchandise, investment for innovation and invention of latest products in addition to determines the pricing mechanism.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORD : Competition, IPR Policy, Compulsory licensing, Regulation of market, Patent

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an innovative healthcare technology solution that leverages artificial intelligence and machine learning to revolutionize stroke risk assessment and preventive healthcare management. The system implements a sophisticated deep neural network architecture trained on comprehensive patient health datasets to predict stroke risk with high accuracy. The model considers multiple critical health parameters including demographic factors (age, gender), physiological metrics (BMI, blood pressure), medical history (hypertension, heart disease), lifestyle indicators (smoking status, work type), and environmental factors (residence type). The implementation utilizes a modern tech stack comprising Flask (Python) for backend services, TensorFlow for AI/ML operations, and a responsive frontend built with Tailwind CSS. The system's architecture ensures secure data management through SQLite database integration and implements robust user authentication mechanisms. A key innovation is the dynamic recommendation engine that generates personalized health guidance based on individual risk profiles, incorporating age-specific advice, condition-based recommendations, and lifestyle modifications. The platform features a premium-grade user interface with dual-mode (light/dark) support, interactive dashboards for real-time analytics, and comprehensive PDF report generation with QR code integration for digital access. The reporting system provides detailed patient assessments, including risk stratification, health metrics visualization, and personalized preventive measures. Evaluation of the system demonstrates significant improvements in stroke risk prediction accuracy compared to traditional assessment methods. The implementation of personalized recommendations has shown promising results in patient engagement and preventive healthcare management. The system's modular architecture allows for continuous learning and improvement through ongoing data analysis and model refinement. This research contributes to the field of preventive healthcare by introducing an integrated solution that combines AI-driven risk assessment with personalized healthcare management. The system's ability to provide real-time risk analysis and tailored recommendations makes it a valuable tool for healthcare professionals and patients alike, potentially reducing stroke incidence through early intervention and preventive measures. Keywords: Stroke Risk Assessment, Artificial Intelligence, Deep Learning, Preventive Healthcare, Personalized Medicine, Health Analytics, Machine Learning, Medical Informatics

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stroke RisStroke Risk Prediction, Deep Neural Networks (DNN), Artificial Intelligence (AI) in Healthcare, Predictive Analytics, Medical Diagnosis System, Health Risk Assessment, Machine Learning in Medicine, Clinical Decision Support System, Flask Web Application, Biomedical Data Analysis, Real-time Risk Prediction, AI-Powered Health Monitoring, Smart Healthcare System, Personalized Medical Recommendations, Explainable AI (XAI)k Prediction Deep Neural Networks (DNN) Artificial Intelligence (AI

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Creative Commons Attribution 4.0 and The Open Definition