Volume 13 | Issue 5 |

 Abstract

Abstract The environment of learning arena is undergoing a noteworthy transformation, driven by technological advancement, shifting societal needs, and evolving need based pedagogies both in practical and theoretical. This change has directly changed paradigm shift in teaching and learning eco-system across the globe. This helps making education more handy, engaging, and efficient. One of the notable trend is the rise of personalize learning. With advent artificial intelligence (AI), Virtual Reality (VR), Augmented Reality (AR) and machine learning (ML), education can now be personalized to individual requirements, abilities, and education style. the present study highlights and made an honest attempt to identify the impact of gamification as a ground-breaking approach to enhance students' engagement, motivation and learning outcomes. By integrating game like elements into educational pedagogies settings, the research aims to provide insights into how gamification can craft learning supplementary interactive and helpful especially in promoting lively participation and improving knowledge retention among the participant.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Gamification, Artificail Intelligence (AI), Vitrual Reality (VR), Machine Learning (ML),

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Skin conditions pose a substantial global health concern, especially in areas where there is a scarcity of dermatological professionals. This paper introduces Dermascan AI, a system that can diagnose skin conditions without an internet connection, using deep learning techniques based on convolutional neural networks (CNNs). Our efficientnetb0-based model achieves 87.2% validation accuracy across nine common skin diseases, enhanced by clinical decision rules (ABCDE criteria for melanoma) and personalized treatment recommendations based on Fitz Patrick skin types and geographic climate data. The system combines a user-friendly web interface with an AI assistant for providing explanations, resulting in a significant reduction of diagnostic waiting times by 60% during pilot testing. Comparative analysis reveals that the proposed model outperforms traditional DenseNet121 models by 6.2% in terms of accuracy, while still being computationally efficient for deployment on low-resource devices. The solution tackles significant shortcomings in dermatological care, such as bias reduction, real-time processing, and scalability, establishing a standard for ai-assisted dermatological triage.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Dermatology ,Deep Learning, Skin Disease Diagnosis, EfficientNetB0 , Convolutional Neural Networks (CNN), Medical Image Analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pregnancy is a critical phase in a woman's life, particularly for primigravida women who are experiencing it for the first time. Lack of awareness about warning signs during pregnancy can lead to delayed interventions and adverse maternal or fetal outcomes. This study aimed to assess the baseline knowledge level of primigravida women regarding the warning signs in pregnancy and to evaluate the effectiveness of an information booklet in improving their understanding. A pre-experimental one-group pre-test and post-test design was adopted. A structured questionnaire was administered to 60 primigravida women attending antenatal clinics in a selected hospital. After the pre-test, participants were provided with an information booklet detailing common obstetric warning signs, followed by a post-test after one week. The findings revealed a significant increase in knowledge scores post-intervention, indicating the effectiveness of the information booklet. This study underscores the importance of educational tools in promoting maternal health awareness and early detection of complications among first-time pregnant women.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Primigravida, warning signs in pregnancy, maternal health, information booklet, antenatal care, pregnancy education.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Empowering non-technical users and SMEs to create intelligent chatbots without writing code is becoming increasingly essential in today's AI-driven ecosystem. To address this need, we present a no-code platform that allows users to design, customize, and deploy conversational agents through an intuitive drag-and-drop interface. The platform is built using modern frameworks such as LangChain and LlamaIndex and integrates seamlessly with locally hosted LLMs via Ollama, including support for models like LLaMA 3.2. Users can visually construct workflows using components like Prompt Templates and LLM Chains, configure parameters such as temperature and model endpoints, and execute chains without dealing with backend complexities. A sample chatflow demonstrates the system's modularity and ease of use, validating the platform's capability for rapid prototyping and privacy-conscious deployment. Functional testing and interaction-based evaluation affirm the platform's goal of democratizing chatbot development, while also laying the foundation for future extensions such as multimodal support, analytics dashboards, and enhanced model integration

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

chatbot, large language models (LLMs), LangChain, Ollama

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research explores the impact of artificial intelligence (AI) on architecture and the future employment of architects. AI is altering architectural design, enabling data-driven insights to enhance building efficiency. Beyond design, AI revolutionizes project management, construction, and facility management, streamlining workflows and promoting sustainability. However, its integration presents challenges, including ethical and creative concerns. Architects must adapt by embracing AI education and interdisciplinary collaboration. While AI augments architects' skills, it cannot replace human creativity, cultural sensitivity, and ethical judgment. The profession's future depends on architects leading this transformation, ensuring technology enhances rather than diminishes architectural integrity. To explore this transition, a survey via Google Forms will gather diverse perspectives on AI in architecture, focusing on public sentiment, AI education, and interdisciplinary collaboration. The study aims to provide valuable insights into AI's evolving role in architecture, helping architects navigate this technological transition while preserving their unique vision and ethical responsibilities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI in Architecture, Architectural Design, Building Efficiency, Project Management, Sustainability, AI Education, Interdisciplinary Collaboration, Ethical Concerns, Creativity, Technological Transformation, Future of Architects.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's fast-paced and competitive hospitality landscape, delivering exceptional guest experiences is paramount. One of the critical factors influencing guest satisfaction is the efficiency and responsiveness of hotel services. Traditional communication methods such as in-room telephones, intercom systems, or physical visits to the front desk are often time-consuming, prone to errors, and inconvenient for both guests and staff. EaseInn is a QR code-based digital solution designed to modernize and streamline guest service management in hotels. By simply scanning a QR code placed in hotel rooms or common areas, guests are directed to a mobile-responsive web interface. This interface enables them to place requests for room service, housekeeping, checkout support, or technical assistance without the need for app installations or direct staff interaction. The system automates the service request workflow by routing requests directly to the concerned department, minimizing delays and improving service quality. It not only enhances the guest experience through real-time updates but also optimizes staff productivity by digitizing request handling and tracking. This paper explores the system architecture, technical implementation, core functionalities, and the potential for scalability and integration with other smart hotel systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hospitality Technology; QR Code; Guest Service Automation; Contactless Service; Web-Based Interface; Operational Efficiency; Room Service Digitization; Hotel Management System.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In modern grocery shopping, the challenge of precisely measuring loose items, especially grains like wheat, is persistent. It is still done manually and time is wasted in checking the right amount before billing. A fresh approach to tackle this challenge is done through the implementation of a specialized dispenser system. This system aims to revolutionize the weighing process for grains and other loose commodities ensuring smooth grocery shopping. Highlighting the growing demand for precise measurements, the proposed system aims to control the dispenser without direct human intervention, ensuring efficiency in both time and user experience. It focuses on creating a suitable mechanical design for the regulated flow of loose items. The goal is to enhance convenience and accuracy in dispensing products.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

grocery shopping, precision weighing, dispenser system, loose items, grains

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This quantitative research paper examines the entrepreneurial spirit of young sportspersons. The research seeks to examine the motivations, challenges, and effects of entrepreneurship among young athletes through intensive data analysis of 50 respondents. Through a structured survey, the research examines the drivers of young sportspersons towards entrepreneurship, the challenges they encounter, and the effects of their entrepreneurial activities on their professional and personal lives. This research paper examines the entrepreneurial spirit of young sportspersons, with a focus on the nexus of sports and entrepreneurship. As the professional sports landscape continues to grow, many athletes are increasingly looking for opportunities beyond their playing careers, motivated by a need for financial freedom, personal branding, and social responsibility. Employing a quantitative research design, this research surveys a representative sample of young athletes across various sports categories to examine their entrepreneurial intentions, drivers, and perceived barriers. The data gathered through structured questionnaires were analyzed using statistical analysis, and the results show strong correlations between athletic experience, personality, and entrepreneurial aspirations. Results show that the majority of young sportspersons have a strong inclination towards entrepreneurship, with the main drivers being the pursuit of passion, financial security, and the need to make a positive impact in their communities. Additionally, the research identifies common barriers among these athletes, including limited access to resources, mentorship, and business education. The results highlight the need to develop an entrepreneurial spirit within sports programs and provide practical implications for sports industry stakeholders, including coaches, sports organizations, and policymakers. This research adds to the existing literature on sports entrepreneurship and identifies the potential of young athletes as future business leaders.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Entrepreneurship, Sportspersons, Young Entrepreneurs, Quantitative Analysis, Survey, motivations, challenges and impact of entrepreneurship.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the relationship between perfectionism and impostor syndrome in college students, with a focus on self-efficacy as a mediating factor. Data from 300 participants aged 18 to 25 were collected using FMPS, CIPS, and GSE scales. Findings indicate a strong positive link between perfectionism and impostor syndrome, with self-efficacy partially mediating this relationship. Female students reported lower self-confidence and higher impostor feelings than males. The results highlight the importance of interventions that enhance Resilience, Motivation, and Self-Belief, promote achievable goal setting, and address gender-specific Academic Pressures. Such strategies are essential for supporting Academic Outcomes, Emotional Well-Being, and overall Mental Health, thereby fostering Student Success in Higher Education through the Mediation Model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Perfectionism, Impostor Syndrome, Self-Efficacy, College Students, Gender Differences, Academic Stress, Psychological Well-Being, Mental Health, Resilience, Motivation, Academic Performance, Self-Confidence, Mediation Model, Higher Education, Student Success

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition