Volume 13 | Issue 12 |

 Abstract

Background:The chronic metabolic disease known as diabetes mellitus (DM) is typified by ongoing hyperglycemia. It could be caused by resistance to insulin's peripheral effects, decreased insulin production, or both. In patients with diabetes mellitus, chronic hyperglycemia can harm several organ systems in concert with other metabolic abnormalities, resulting in the emergence of crippling and potentially fatal health issues. Methods and materials:This study aimed to assess the prevalence of type 2 diabetes mellitus in females aged 35 to 45 at Sree Ramakrishna Medical College of Naturopathy and Yogic Sciences and Hospital is situated in Tamil Nadu, India's Kulasekharam. The study units consisted of women aged 35 to 45. For the study, a questionnaire is employed.When the study's purpose was explained, the women verbally agreed. The study had 30 female participants in total. The questionnaire consists of thirty questions covering topics such as pain, numbness, food cravings, itching in the extremities, medicine, and weight loss.Conclusion:We conclude that the development of comprehensive programs intended to educate people and raise awareness of particular health risks is essential to predictive and preventive healthcare. This emphasizes how crucial awareness is for managing and preventing type 2 diabetes.Adopting a comprehensive awareness and education campaign is crucial to improving predictive and preventive healthcare and eventually lowering morbidity and mortality.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetes mellitus,hyperglycemia,metabolic disorder,ulcer,blood sugar,itching in extremities

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a comprehensive criminal face detection and identification system built using traditional face recognition techniques rather than deep learning or convolutional neural networks (CNNs). The solution is designed for real-time law enforcement assistance, secure access verification, and controlled surveillance environments. The system employs OpenCV's Haar Cascade Classifier for efficient and lightweight face detection, while facial feature extraction and recognition rely on dlib's Histogram of Oriented Gradients (HOG)-based model and 128-dimensional face encodings. The system maintains all identity records inside a local credential database, and facial images are stored securely in a structured local file system, ensuring privacy and data protection without cloud dependency. The proposed approach demonstrates reliable identification accuracy in controlled environments, fast inference speed, and low hardware requirements, making it suitable for organizations with limited computational resources. Experimental evaluations confirm the model's capability to consistently detect and recognize faces under stable lighting conditions and frontal orientations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face recognition, Haar Cascade, HOG, dlib encodings, OpenCV, Criminal identification, Local database, Local file storage.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the modern digital era, emotional intelligence in technology has become a vital component of personalized user experiences. MoodTune is an AI-based system that detects users' emotions in real-time using facial expressions and voice tone and automatically recommends suitable music through Spotify and YouTube integration. The system employs Deep Learning models for emotion detection and Natural Language Processing (NLP) for voice-based mood analysis. It integrates Spotify and YouTube APIs to generate unlimited mood-based playlists, offering a seamless and adaptive entertainment experience. The project demonstrates the use of computer vision, deep learning, and cloud API integration to enhance human-computer interaction through emotion-aware multimedia recommendations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotion Detection, Deep Learning, Music Recommendation, Spotify API, YouTube API, Artificial Intelligence, Human-Computer Interaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

E-Commerce portals are now trending in India. It is growing everywhere, and customers are showing interest in using these portals effectively. There are so many portals which are unique in their features and the design of websites. The e-commerce has broken the technological and geographical barriers over the years and has got huge amount of success which many economical analyst and experts never predicted and still it must go a long way ahead in India. By integrating various online information management tools using Internet, various innovative companies have set up systems for taking customer orders, facilitate making payments, customer service, collection of marketing data, and online feedback respectively. These activities are collectively known as e-commerce or Internet commerce. Online shopping made it so easy for everyone with their product variations and simple ways to buy things. Both these big players made their own mark in India, but who is going to be ultimate winner or be the top one is going to be. A comparative study of Flipkart.com with one of the close competitors Amazon.com delivers the information about the different strategies to succeed in e-commerce market and different opportunities available in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online Shopping, Customers perceptions, Amazon, Flipkart, Shopping, Strategies, Price.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study aimed to assess amputees' participation level in physical activities and sports competitions in Yemen and to evaluate the key factors influencing their engagement, including accessibility, infrastructure, and institutional support. The researcher employed a descriptive methodology, collecting data through a questionnaire distributed to 104 amputees. The findings highlight significant limitations in sports facilities, specialized equipment, systematic planning, coaching expertise, and financial support, all of which contribute to low participation in physical activities and sports competitions. Moreover, the absence of an organized sports framework and dedicated policies further exacerbates these challenges. Based on the results, this study proposes a strategic plan to enhance amputees' participation in sports by improving infrastructure, implementing specialized training programs, increasing financial resources, and reforming policies at the Ministry of Youth and its provincial offices. The study emphasizes the importance of collaboration between governmental institutions, sports organizations, and community initiatives to foster an inclusive and sustainable sports environment for amputees and individuals with disabilities. It anticipates that implementing these recommendations will lead to higher participation rates, improved athletic performance, and enhanced overall well-being for amputees in Yemen.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Amputees; physical activity; rehabilitation; adaptive sport; prosthetics; Yemen; participation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cognitive Radio (CR) technology enables adaptive configuration of transmission parameters based on the operating environment and diverse Quality of Service (QoS) requirements, offering a pathway to energy-efficient wireless communications. Among the radio frequency (RF) components, the power amplifier (PA) constitutes a major contributor to energy consumption, particularly in medium- and long-range transmissions. Minimizing PA power consumption is therefore critical for realizing green radio systems. This study presents a mathematical formulation of total system power consumption at a CR transmitter with Class B PA and investigates optimization via parameter reconfiguration for multicarrier data transmission scenarios. Five nature-inspired (NI) metaheuristic algorithms Ant Lion Optimizer (ALO), Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimizer (GWO), Moth Flame Optimization (MFO), and Whale Optimization Algorithm (WOA) are applied and compared based on multiple performance metrics. Simulation results indicate that WOA achieves superior performance in minimizing system power consumption while satisfying multiple QoS constraints, demonstrating its effectiveness for green cognitive radio design.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cognitive Radio, Green Radios, Power Amplifier, Nature-Inspired Optimization, Multicarrier Transmission, Whale Optimization Algorithm, QoS Constraints, Energy Efficiency

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents the design and development of a blog application using the MERN stack (MongoDB, Express.js, React, and Node.js). The project aims to create a dynamic, responsive, and scalable platform for managing and sharing blog content efficiently. Key features include user authentication, content creation and editing, real-time updates, and secure data storage. The system ensures smooth front-end and back-end integration for optimal performance and user experience. Testing results demonstrate that the MERN-based blog application provides improved functionality, speed, and scalability compared to traditional web solutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords- Blog Application, MERN Stack, MongoDB, Express.js, React.js, Node.js, Full-Stack Development, Web Application, Content Management System, User Authentication, RESTful API, Data Security, Responsive Design, CRUD Operations, Real-Time Updates, Scalability, Front-End and Back-End Integration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine learning performance is fundamentally influenced by the quality of data preprocessing this work provides an analytical overview of preprocessing strategies for textual data tokenization and bag-of-words representations are discussed as foundational techniques

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, artificial intelligence

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Financial systems are becoming more complex, and this increases the need for powerful tools that can analyze large datasets and handle difficult problems. Quantum computing offers new ways to process information faster and solve problems that are hard for traditional computers. This paper explains the basic ideas behind quantum computing and explores how they can be used in financial modelling, especially in portfolio optimization, risk analysis, and option pricing. It highlights important quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) and Quantum Amplitude Estimation (QAE), which show strong potential for improving financial computations. The paper also discusses current technological challenges, industry readiness, and how quantum-based financial modelling might develop in the next ten years. Our findings suggest that although quantum technology is still in its early stages, it has the potential to bring major improvements to financial modelling.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Quantum Computing, Financial Modelling, Portfolio Optimization, Option Pricing, Risk Management, QAOA, QAE, Quantum Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's competitive market, job seekers struggle to find suitable employment opportunities, and employers face difficulties in reaching skilled candidates efficiently. To address this gap, this paper presents JobDekho, a full-stack job portal designed to simplify recruitment through automated workflows, optimized data handling, and real-time communication. The system enables job seekers to search and apply for jobs while allowing employers to manage postings and applications. JobDekho integrates Spring Boot, MySQL, and REST APIs to provide a scalable and high-performance application. The platform includes advanced search & filter features, email notification support, and performance optimization techniques, ensuring an efficient and user-friendly experience. Experimental results demonstrate improved responsiveness and reduced processing time through optimized API calls and caching. This project shows how modern full-stack architecture can enhance digital recruitment and streamline the hiring process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Job Portal, Recruitment System, Spring Boot, MySQL, Full-Stack Development, REST API, Job Search and Filter, Application Management, Email Notification System, Performance Optimization, Redux Caching, Employer Dashboard, Digital Hiring, Web Application, Automated Job Application..

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Creative Commons Attribution 4.0 and The Open Definition