Volume 13 | Issue 4 |

 Abstract

In the contemporary Information Technology (IT) era, information has become an indispensable factor influencing various facets of human life, particularly in sectors such as healthcare, education, business, and governance. The capability to efficiently collect, store, process, and disseminate data, information, and knowledge is now recognized as a critical determinant of success in an increasingly digital and data-driven world. This paradigm shift has been driven by remarkable advancements in computing power, storage capabilities, and the widespread use of electronic devices, resulting in the exponential growth of data generation--often referred to as big data. This research also highlights the intricate processes involved in data collection, storage, knowledge generation, and dissemination. In doing so, it underscores the transformative role of IT in modern organizational structures. Additionally, it examines how data management systems and mining technologies empower stakeholders to derive meaningful conclusions, optimize business operations, and maintain a competitive advantage in an increasingly data-centric landscape. The findings of this study offer valuable insights that can inform the development of robust data management strategies. Moreover, they provide a foundation for leveraging data mining techniques to maximize organizational value and enhance decision-making capabilities. The conclusions drawn from this research are expected to contribute to the ongoing discourse on data management and mining technologies, providing practical guidance for organizations aiming to navigate the complexities of a data-driven world

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Information Technology (IT), Big data, Data warehouses, Centralized repositories, Data collection, Data storage, Data mining tools, Machine learning, Artificial intelligence, Data analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The banking sector plays a pivotal role in the economic development of a country, with private sector banks emerging as key players in delivering customer-centric services. This review paper examines the service quality of private sector banks by analyzing existing literature and research findings. It explores key dimensions of service quality, such as reliability, responsiveness, assurance, empathy, and tangibles, with a focus on how these factors influence customer satisfaction and loyalty. The study also highlights the growing importance of technology-driven services and digital banking in shaping customer experiences. By synthesizing insights from various empirical studies, this paper identifies gaps in service delivery, best practices, and areas requiring improvement. The findings aim to provide valuable implications for bank managers, policymakers, and researchers seeking to enhance service quality and customer relationship management in the competitive landscape of private sector banking.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Service Quality, Private Sector Banks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Food wastage is one of the most critical challenges faced by society today, especially in regions where celebrations, events, and large-scale gatherings frequently occur. Despite the abundance of food produced and available globally, countless individuals from underprivileged communities remain unable to access even a single meal in a day. Addressing this glaring disparity, this paper introduces a socially-driven web-based platform designed to bridge the gap between excess food availability and those in need. The platform provides an innovative solution to mitigate food wastage by enabling seamless interaction between food donors and local NGOs. Built using user-friendly technologies like HTML, CSS, and JavaScript, the platform allows food donors to input essential details, such as their location, estimated food quantity, and contact information. The information is then made accessible to NGOs, who can take swift action to collect the surplus food and ensure its redistribution to communities in need.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food donation , NGO , Web App

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An AI-powered personalized learning platform is developed using Streamlit, Gemini API, and Python in a VS Code environment. It allows students to take interactive quizzes and receive instant feedback with explanations for both correct and incorrect answers. The system identifies learning gaps and offers focused insights to help students improve specific skills. With a smooth and responsive interface, the platform adapts to individual performance, making learning more effective and engaging. By combining intelligent feedback with real- time progress analysis, it creates a tailored educational experience that encourages continuous learning and helps students achieve better academic results

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-powered learning, personalized quizzes, Streamlit, Gemini API, and Python within a VS Code environment, the system focuses on learning gap analysis and skill-based improvement

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: Parkinson's disease is one of the main contributory factor that affect adult's quality of life. Aim: To evaluate the impact of the educational module on knowledge regarding Parkinson's disease and its prevention among adults. Method and Materials: A quantitative research approach with a pre-experimental one-group pre-test and post-test design was used for the study. The setting of the study was selected village in Indore. By using the non-probability purposive sampling technique 150 adults were selected. A self-structured questionnaire was used to assess the demographic data and knowledge regarding Parkinson's disease and its prevention among adults. The pretest knowledge was evaluated on day 1 and educational module was administered regarding Parkinson's disease and its prevention to the samples. On the 7th day after intervention post-test knowledge was evaluated. The data analysis was done using descriptive and inferential statistics. Result: In the pretest, 137 (91%) adults obtained poor grade, 8 (5%) participants obtained average grade, 5(4%) obtained good grade and none of the participants obtained excellent grade. In the posttest, none of the participant obtained poor grade, 5 (3%) participants obtained average grade, 33 (22%) participants obtained good grade and 112 (75%) participants obtained excellent grade. The intervention was very helpful in increasing the knowledge grade of the participants. A statistically significant association was found between marital status and any information about Parkinson's Disease and pretest knowledge grade (P>0.05), showing that the pretest knowledge grade is dependent on marital status and any information about Parkinson's Disease. Conclusion: The findings of the study showed information module was effective in increasing the knowledge of adults regarding Parkinson's disease and its prevention. Keywords: Knowledge, adults, Parkinson's disease, prevention.

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 Keywords

THE IMPACT OF EDUCATIONAL MODULE ON KNOWLEDGE REGARDING PARKINSON'S DISEASE AND ITS PREVENTION AMONG ADULTS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid increase in textual data in navigation tasks for devices like GPS or smart assistants creates challenges for managing and storing data in large-scale systems. Data deduplication, which reduces storage needs by eliminating duplicate data, offers a solution but raises security concerns. This paper introduces DEDUCT, a new method that combines cloud-side and client-side deduplication to achieve high data compression while protecting data privacy. Designed for devices with limited resources, such as IoT devices, DEDUCT includes lightweight preprocessing and safeguards against security risks like side-channel attacks. Testing on a navigation dataset shows that DEDUCT can compress data by up to 66%, significantly cutting storage costs while keeping data secure, making it an efficient choice for managing large-scale data systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data deduplication, IoT storage optimization, Cloud security, Cryptographic access control.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the relationship between product quality and brand loyalty among Crocs consumers in Coimbatore. Using a structured questionnaire administered to 122 respondents, the study explores how factors such as durability, comfort, material quality, and design aesthetics influence consumer perceptions and loyalty. The findings reveal that durability and brand reputation are primary drivers of repeat purchases. The research underscores the role of consistent product quality in sustaining brand trust and offers actionable strategies for enhancing consumer satisfaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Product Quality Brand Loyalty Durability Comfort Material Quality Design Aesthetics Brand Reputation Customer Satisfaction Consumer Behavior Repurchase Intention Footwear Industry Crocs Consumers Customer Trust Marketing Strategies User Experience

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the critical multimedia challenges in today's digital landscape is the rapid and effective creation of video content enriched with relevant metadata. This metadata is essential for improving discoverability, organization, and engagement, but the process of manually generating it is both time-consuming and inconsistent. To address this, we propose a Video Metadata Automation System that utilizes recent advancements in artificial intelligence--particularly large language models (LLMs)--to automatically generate key video metadata, including titles, descriptions, captions, and thumbnails. Our system employs an end-to-end automated framework that integrates techniques such as audio extraction, speech-to-text transcription, and video analysis. Using APIs for connection to high-performing LLMs, the extracted transcripts are used to create metadata in a structured and SEO-friendly format. The most suitable LLMs are evaluated and selected for optimal performance in this context. Furthermore, the system features integration with image generation models such as Stability AI's Stable Diffusion to generate thumbnails based on the video's context. This paper explores the effective utilization of open-source tools and state-of-the-art AI technologies, presenting a unified and modular solution that simplifies the video content creation pipeline. By automating the metadata generation process, our system significantly reduces the workload for creators, enhances video accessibility, and enables faster content publication with minimal manual intervention.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Metadata Generation, Large Language Models (LLMs), Speech-to-Text, Audio Extraction.

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Creative Commons Attribution 4.0 and The Open Definition

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In modern urban mobility systems, real-time and easily accessible information is crucial for enhancing public transportation efficiency. "MeetRoute" presents a user-centric platform that enables commuters to instantly access comprehensive bus route information and live passenger occupancy through QR code scanning at bus stops. Upon scanning, users are redirected to a mobile-optimized website that displays a list of available bus routes, providing vital details such as bus number, starting and ending points, number of stops, seating capacity, and real-time crowd data captured via onboard cameras. This solution addresses common challenges like uncertainty in travel, overcrowding, and lack of real-time updates. By integrating computer vision technologies with smart web systems, MeetRoute bridges the information gap between commuters and transportation services. This paper discusses the platform's design architecture, implementation methodology, challenges, results, and future directions aimed at creating a sustainable, efficient, and commuter-friendly transportation ecosystem. The research highlights how MeetRoute improves commuter convenience, promotes the adoption of public transportation, and contributes to reduced traffic congestion and environmental impact.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Public Transport, QR Code Navigation, Real-Time Passenger Monitoring, MeetRoute.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aadivasi Mahilao Ki Panchayati Raj Me Bhagidari Per Ek Samaji Adhayan

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Creative Commons Attribution 4.0 and The Open Definition

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Aadivasi Mahilao Ki Panchayati Raj Me Bhagidari Per Ek Samaji Adhayan

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Creative Commons Attribution 4.0 and The Open Definition