Volume 13 | Issue 3 |

 Abstract

Object detection in real-time with fast inference and a minimum degree of accuracy is known as real-time object detection. In terms of PC vision, it is a cosmic, dynamic, yet ambiguous and complex space. The global positioning framework employed in security and many other applications has become increasingly popular in reconnaissance, pushing scientists to constantly more complex and skilled calculations. In any event, there are challenges in carrying out object identification and following in real time, such as following in a strong climate, performing too many calculations to meet the precise time execution, or following several cameras and objects, which makes this assignment extremely taxing. A PC vision technique called item identification enables us to locate and identify objects in an image or video. Article identification enables us to promptly consign the types of items discovered while identifying instances of them in the image. Although many methods and approaches have been developed, we have looked at a few well-known and simple methods for object recognition and tracking in this writing audit. Ultimately, we have provided their general uses and outcomes.

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 Keywords

Real-time object, image processing, machine learning, and object recognition, YOLO algorithm, Bounding Box.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Huffman coding is a widely recognized algorithm for data compression, leveraging variable-length codes for characters based on their frequencies to minimize overall data size. This abstract explores the dual application of Huffman coding for both compression and data security for image and text. By efficiently encoding data with shorter codes for more frequent characters and longer codes for less frequent ones, Huffman coding reduces storage requirements and transmission costs. Additionally, integrating Huffman coding with encryption techniques enhances data security by obfuscating the encoded data, thus adding a layer of protection against unauthorized access. This project examines the implementation of Huffman coding for compression and data security. The implementation of Huffman coding for compression coupled with encryption strategies provides a robust framework for managing and securing data, ensuring both efficient storage and secure communication. In this project we are going to Implement Huffman Coding for data security and compression using MATLAB. This Implementation incorporates binary trees and Encryption techniques, ensuring both data security and compression. This approach not only optimizes data handling but also fortifies data integrity and confidentiality in various applications.

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 Keywords

Binary Tree, Compression, Encryption, Huffman encoding.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ornaments have been an integral part of Indian culture and tradition for centuries, serving as a visual representation of the country's rich cultural heritage. This study explores the cultural significance of ornaments in India, examining their role in expressing identity, spirituality, and tradition. From the intricate designs and symbolic motifs to the regional and communal variations, ornaments in India convey a complex language of meaning and significance. Through a multidisciplinary approach, combining anthropology, sociology, and art history, this research reveals the deeper cultural significance of ornaments in India, highlighting their importance in shaping individual and collective identities, spiritual practices, and cultural traditions. In India, ornaments transcend mere aesthetics, embodying complex cultural narratives. This study delves into the symbolic realm of Indian ornaments, spirituality, and tradition.

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 Keywords

Ornaments, jewellery, piercings, tradition, acupressure, metals ,health benefits

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Crimes are common social problems that can even affect the quality of life, even the economic growth of a country. Big Data Analytics (BDA) is used for analyzing and identifying different crime patterns, their relations, and the trends within a large amount of crime data. Here, BDA is applied to criminal data in which, data analysis is conducted for the purpose of visualization. Big data analytics and visualization techniques were utilized to analyze crime big data within the different parts of India. Here, we have taken all the states of Indian for analysis, visualization and prediction. The series of operations performed are data collection, data pre-processing, visualization and trends prediction, in which LSTM model is used. The data includes different cases of crimes with in different years and the crimes such as crime against women and children in which, kidnap, murder, rape. The predictive results show that the LSTM perform better than neural network models. Hence, the generated outcomes will benefit for police and law enforcement organizations to clearly understand crime issues and that will help them to track activities, predict the similar incidents, and optimize the decision making process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big Data Analytics, Crime Data, Crime Data Analysis, Visualization, Prediction, LSTM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A comprehensive service, wealth management aims to enhance the financial health of those with mid-to-high net worth. It includes financial planning, retirement and estate planning, tax solutions, investment management, legal assistance, and philanthropic advice. But in the face of swift digital change, the sector faces formidable obstacles like commoditization, fee pressures, and intensifying rivalry. In order to provide high-value, personalized services, these problems necessitate proactive initiatives that embrace technology innovation. The study explores the significant effects of digital transformation on the wealth management industry in India, emphasizing how Fintech companies and other unconventional tech players are changing the game. These organizations are fostering innovation, increasing client expectations, and establishing new standards for the provision of services. Wealth management companies need to empower their clients and advisors in order to handle these changes. Wealth management companies need to provide their clients and advisors with cutting-edge tools, deep data insights, and personalized digital engagements in order to handle these changes. These initiatives improve informed decision-making and operational efficiency. The results highlight how crucial it is to review and improve digital services in order to maintain competitiveness in a market that is constantly changing. A key tactic to satisfy the needs of contemporary customers is to combine individualized services with state-of-the-art technologies. The study also highlights the necessity of delivering smooth, cutting-edge technological experiences while preserving the individualized advisor-client relationships that promote loyalty and trust. This dual strategy not only puts wealth management companies in a strong position to successfully address market difficulties, but it also helps them prosper at a time where digital innovation is king.

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 Keywords

Wealth Management, Trust and Loyalty, Client-First- Approach, Data insights, Portfolio Management, Stratified Random Sampling, Digital Transformation, Fintech, Personalized Services, Advisor Tools, AI and predictive, Client outcomes, Customer engagement, Investment Management, ESG (Environmental, Social and Governance), Sustainable Investing, Robo-Advisory, Financial Literacy, Cybersecurity, market Dynamics, Generation Wealth Transfer, Behavioral Finance, Emerging Markets

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 Abstract

In today's digital era, real-time collaboration among developers is essential to enhance productivity and streamline software development. CodePulse is a full-stack, real-time code editor that enables multiple users to collaboratively create, edit, and debug code simultaneously. Built with modern technologies--including React on the frontend and Node.js with Express.js and Socket.io on the backend--the platform creates virtual coding rooms where changes are instantly synchronized across all participants. Additionally, integrated version control ensures robust management of code changes. This paper details the design, implementation, and evaluation of CodePulse, demonstrating its potential to transform collaborative coding environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

keywords - Real-time code editorCollaborative coding,Web sockets,Room ID generation, Code sharing, Socket.io,Live code synchronization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's competitive market, service quality plays a crucial role in shaping customer satisfaction and brand loyalty. This study, titled "A Study on Product Service Quality at GK Engineering - Customer Satisfaction and Service Effectiveness," aims to assess the key factors influencing customer satisfaction, service efficiency, and retention strategies in the service and maintenance industry. The research examines how product features, communication quality, after-sales support, and service reliability impact customer perceptions. A structured questionnaire was used to gather insights, analysing customer expectations, satisfaction levels, and challenges related to GK Engineering's services. Key aspects such as timely delivery, pricing, brand reputation, and customer support were evaluated. Findings from this study will help GK Engineering enhance its service strategies, strengthen customer relationships, and optimize retention programs. The results provide valuable insights into aligning business practices with customer needs, market trends, and long-term service effectiveness. This study highlights the importance of service excellence in marketing and customer satisfaction, offering practical recommendations for continuous improvement in the industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Service Quality, Customer Satisfaction, Brand Loyalty, After-Sales Support, Retention Strategies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ischemic Mitral Regurgitation (iMR) is a result of functional imbalance between mitral valve leaflets tethering and closing forces caused by left ventricular remodeling following myocardial infarction. The extent of global and regional LV remodeling can determine ischemic MR severity. Present study was aimed at evaluating degree of global and regional LV remodeling in subjects undergoing elective myocardial revascularization surgery with or without mitral valve procedure with different grades of ischemic MR.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Myocardial revascularization surgery, Global and regional LV remodeling, Ischemic mitral regurgitation, Vena contracta width, Effective regurgitant orifice area.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence (AI) is advancing at a very fast rate and has the possibility of bringing great changes in the field of healthcare especially in the area of disease control and management. This paper proposes a Smart AI Health System which is intended to improve the identification, assessment, and management of diseases using improved machine learning algorithms and data mining. The suggested system incorporates numerous data sources such as electronic health records, information gathered from wearable devices and environmental factors to offer health insights and predictive analysis. Using both supervised and unsupervised learning strategies, the system is able to pick out diseases and possible epidemics and suggest appropriate measures for the healthcare professionals and policy makers. Also, the solution focuses on the user's needs and wants to make the system easy to use, flexible, and compatible with the existing law requirements on data management. Analysis of the system shows that it is useful in enhancing the diagnostic capabilities and decreasing the time taken in the healthcare management. This paper shows how AI-based healthcare systems can enable a preventive and effective strategy for managing diseases on a global perspective.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Disease Management, Health Monitoring Systems, Predictive Healthcare, Smart Health Technology, Public Health, Disease Surveillance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Landslides are one of the most destructive natural disasters, posing severe risks to human life, infrastructure, and the environment, especially in mountainous regions prone to heavy rainfall and steep slopes. This paper presents an IoT-based solution for landslide risk mitigation, aiming to provide real-time monitoring and early warning capabilities. Traditional landslide detection methods often lack the ability to deliver timely alerts due to their reliance on manual observation or basic sensors. To address these limitations, this project, titled "Geosense," proposes a smart, scalable, and cost-effective landslide detection system using a network of interconnected sensors. The system continuously monitors critical parameters, including soil moisture, ground vibrations, slope tilting, and environmental factors such as temperature and humidity. A comprehensive geotechnical analysis was conducted at a landslide-prone location near the Chenkulam Reservoir, Idukki, Kerala. Soil samples were collected and subjec

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT Technology, Monitoring System, Landslide-Prone Areas, Real-Time Data, Soil Moisture, Ground Movement, Early Warning, Low-Cost Sensors, Wireless Communication.

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Creative Commons Attribution 4.0 and The Open Definition