Volume 13 | Issue 5 |

 Abstract

: Job satisfaction, employee satisfaction or work satisfaction is a measure of workers' contentment with their job, whether they like the job or individual aspects or facets of jobs, such as nature of work or supervision. The aim of the present paper is to review the concept of Job satisfaction, identify the factors influencing job satisfaction in general and to gather data from the Srikalahasthi Pipes Ltd., located at Srikalahsthi, Tirupati district of Andhra Pradesh to find the level of job satisfaction. Based on the factors influencing job satisfaction and employees attitudes the data is drawn from 120 respondents in the study area. The findings reveal that the employee's responses are very much influenced by their job skills, pay, medical and canteen facilities etc., The study concludes that the employees are very much satisfied in the organization.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Job Satisfaction, Employee Performance, Human Resources

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Augmented Reality (AR) has emerged as a disruptive force in the digital age, transforming the way users interact with virtual content by merging real-world environments with computer-generated visuals. One of the most promising applications of AR lies in the retail sector, where it offers a solution to long-standing challenges such as limited product visualization, poor user engagement, and high product return rates. This paper introduces the AR Try-On Watch Application, a mobile-based AR solution designed to provide users with a virtual try-on experience for wristwatches, enhancing both convenience and confidence in online shopping. The application is developed using Unity 3D for game development, Vuforia SDK for image recognition and tracking, C# scripting for dynamic functionalities, and Blender for creating detailed 3D watch models. It employs marker-based AR technology, where a printed image (marker) is used to anchor virtual content onto the user's wrist. Once the camera detects the marker, the system overlays the corresponding 3D watch model, accurately adjusting to movement and perspective. This interaction allows users to visualize various watch designs in real time, switch between models, and customize features such as strap style and color. The user interface, constructed using Unity's Canvas system, is designed to be intuitive and responsive, offering seamless navigation and real-time interaction. The application supports multiple watch models and customization options, offering a personalized experience tailored to user preferences. By incorporating realistic 3D visualization, the system replicates the feel of an in-store try-on session, significantly improving product understanding and satisfaction. In the context of post-pandemic retail trends, where contactless and remote shopping are increasingly favored, this application provides a timely and practical solution. Moreover, it generates valuable user interaction data that can be leveraged for personalized marketing and business insights. The lightweight architecture ensures smooth performance on Android devices, making the application both scalable and accessible.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Reality (AR), Virtual Try-On, Marker-Based Tracking, Unity 3D, Vuforia SDK, C# Programming, 3D Modeling, Blender, E-commerce, Interactive Shopping, Mobile Application, Wristwatch Visualization, Post-Pandemic Retail, User Experience, Digital Retail Solutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dietary management is essential for maintaining a healthy lifestyle, yet traditional food tracking methods such as manual calorie counting and handwritten food diaries are often inaccurate and inconvenient. To address these challenges, this research presents NutriSnap: An Advanced Food Detection and Dietary Management System, which leverages deep learning models for real-time food detection, classification, and AI-driven personalized recommendations. The system allows users to capture or upload food images, automatically identifying food items and providing real-time nutritional analysis, including calorie counts, macronutrient breakdowns, and allergen alerts. Additionally, NutriSnap offers customized meal recommendations based on user preferences, dietary restrictions, and fitness goals. The system has been evaluated for food detection accuracy and classification performance, demonstrating its effectiveness in automating dietary tracking. While challenges such as food presentation variations and portion size estimation remain, the system provides a more efficient and automated alternative to manual food logging. Future improvements, such as enhanced portion size estimation, integration with fitness applications, and mobile app development, will further enhance usability and accuracy. By bridging the gap between food recognition, nutritional analysis, and AI-driven dietary recommendations, NutriSnap aims to help users make informed food choices and adopt healthier eating habits.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food detection, machine learning, deep learning, MobileNetV2, Yolov8, CNN, dietary management, nutritional analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Urban storm water drainage systems in India have historically been secondary to water supply and sewerage, a situation worsened by rapid urbanization and migration that strains existing infrastructure. This contributes to urban floods when heavy rainfall overwhelms drainage capacity. Mega cities, with their long history of municipal drainage dating back to the British era, often rely on antiquated, combined sewage and storm water systems, making upgrades and separation projects technically and financially challenging.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

climate change,key drivers,real time governance,reuse,urban hydrology,urbanization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is necessary to consider how rural needs are very important for the revival of agriculture and manufacturing. Agriculture is very important because it employs 52% of the population and accounts for 17% of GDP. Approximately 14 million farmers have committed suicide in the last 17 years. Although the amount of land provided per capita decreased, the share of agriculture decreased further. The report shows that the number of suicides in India's agriculture sector in 2022 is 11,290; this number was up 3.75% from the 10,881 suicides reported in 2021. Of the 2022 victims, 5,207 were farmers and 6,083 were farmers. In 2021, the corresponding figures are 5,318 farmers and 5,563 farmers. This means a crisis for farmers. Dynamic meditation is a popular form of meditation introduced by the Indian mystic Osho in the 1970s. Effects of Osho Dynamic Meditation on blood cortisol levels (cortisol is an indicator of stress) to see if it has an effect on stress. And use Mindrove computer to calculate farmer's brain power and monitor brain power.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

dynamic meditation (DM), cortisol, electroencephalogram (EEG), Stress.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the world increasingly relies on technology for entertainment and education, creating a secure and productive environment for children to study has become ever more essential. This paper proposes a new solution for enhancing the study environment of children with the integration of real-time monitoring and safety considerations. The novel idea provides two timers for recording screen-based and book-based study time to allow parents to monitor their child's study practice and performance. In addition to time tracking, the system has webcam-based observation to detect pointed objects, mark danger zones, and monitor suspicious behavior in the study room. Utilizing AI-based object recognition algorithms, the system provides a smart means of detecting risky situations, such as unsafe movement or sharp objects, in real-time. Moreover, the system automatically notifies parents with instant alerts through a web-based dashboard, enabling them to monitor the safety and productivity of their actively engaged child remotely. The parent panel offers valuable information like detailed study time logs and detected safety risks, allowing parents to intervene where necessary. The study establishes that combining time management with proactive safety monitoring is effective, offering a full solution that ensures academic focus and safety of the child in an age of technology based learning. The AI book timer has come up to be 92.5% accurate, AI screen timer- 89% accurate and AI object recognition- 92.4% accurate.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

--child safety, study timer, webcam monitoring, sharp object detection, suspicious activity detection, danger zone detection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Professional development is a way for people and groups to broaden and/or enhance their pedagogical and subject knowledge. Formal lectures, seminars, and workshops are commonly referred to for professional development, which is sometimes abbreviated as PD.A teacher uses to improve his knowledge of teaching and further his career in education through professional development. Examples include attending conferences relevant to teaching and enrolling in online courses. Professional development can be pursued freely and occasion through funded programmes at the school, district, and state levels. In majority of the time, professional development for teachers focuses on introducing new methodologies, innovative techniques and procedures based on cutting-edge research, as well as implementation strategies. Interpersonal communication is one example of a generic talent that can be the subject for professional growth or altern. Pre-service and in-service teacher training programmes are the two main categories for teacher training programmes in India. Generally speaking, in-service training programmes for teachers are regarded as programmes for teacher professional development. This aspect of in-service teacher education was emphasised in many policy texts. In addition, "school complexes" will help with a nodal school in charge for all teachers' ongoing professional development, according to the Education Commission's (1964-66) recommendation. As a result of these proposals, State Institutes of Education have been established in a number of States. According to the "Teacher and Society" report of the National Commission of Teachers-I (1983-1985), every teacher should participate in in-service training for three weeks once every five years and that it should be connected to career advancement."Teacher education is a continuous process, and its pre-service and in-service components are interrelated," the National Policy of Education (NPE 1986/92) said explicitly. Numerous measures were suggested in the National Curriculum Framework for Teacher Education-2009 to improve in-service teacher education as a tool for professional growth.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words: Professional development, Pre-service Teacher Training, In-Service Training.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence (AI) is increasingly recognized for its potential to enhance cancer care, particularly amid challenges such as an ageing population, workforce shortages, and rapid technological advancements. While AI has shown promise in cancer diagnostics, its broader impact on the quality, efficiency, and equity of care throughout the cancer care continuum remains uncertain. This systematic review aims to evaluate the clinical readiness and practical deployability of AI applications in post-diagnostic cancer care through an analysis of prospective studies. A comprehensive search of PubMed and Web of Science (1 January 2013 to 1 May 2023) identified 15 studies that prospectively assessed AI interventions following cancer diagnosis. Each study was critically appraised using the Risk of Bias tools for randomized and non-randomized studies, along with implementation analyses focusing on time, cost, and resource requirements. Our findings indicate that most AI research in oncology remains in the experimental phase, lacking prospective clinical validation or real-world deployment. Many studies failed to demonstrate clinical validity or translate AI-generated efficacy into meaningful patient outcomes. Key limitations include insufficient standardization, poor interoperability across health systems, and a lack of implementation and equity-focused evaluations. To address the existing gaps--namely, low clinical evidence, limited outcome translation, and research ecosystem fragmentation--future efforts should prioritize multicenter, collaborative implementation studies that align with current methodological standards and are tailored to specific healthcare settings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI),Cancer Care,Post-Diagnostic Pathway,Clinical Readiness Implementation,Science Health System Interoperability,Prospective Studies,Oncology, Quality of Care, AI Deployment Equity in Healthcare,Systematic Review

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The imperative of sustainable environmental management is underscored by the escalating degradation of ecosystems and loss of biodiversity, necessitating a paradigm shift towards holistic and integrated approaches. This review synthesizes the existing literature on the challenges, opportunities, and best practices in sustainable environmental management, with a focus on balancing ecological integrity with socioeconomic development. The findings highlight the complex interdependencies between social, economic, and environmental systems, and the need for multifaceted solutions to address the pressing issues of climate change, resource depletion, and biodiversity loss. Opportunities for sustainable development abound, particularly through the adoption of renewable energy sources, sustainable agriculture practices, and eco-friendly technologies. Best practices in environmental management include community-led conservation initiatives, policy interventions, and innovative technologies. The review underscores the need for collaborative efforts from governments, industries, and individuals to actualize sustainable environmental management and ensure a resilient and thriving planet for future generations. By examining the intersections between environmental sustainability, economic development, and social justice, this review provides insights into the complex dynamics of sustainable environmental management and informs policy and decision-making processes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainable Development, Environmental Sustainability, Renewable Energy, Eco-friendly Technologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the Effectiveness of Abacus based techniques in Improving Speed and Accuracy in Arithmetic among Grade IV primary school students. A quasi-experimental pretest-posttest non-equivalent group design was employed, dividing 80 students into two groups: a Control Group (C) (n = 40) taught using conventional methods and an Experimental Group (E) (n = 40) trained using Abacus strategies. The intervention consisted of a structured 60-class instructional module focusing on simple addition and subtraction, with the aim of enhancing computation speed and accuracy. Data collection involved pretest and posttest arithmetic assessments, measuring speed (time taken in minutes) and accuracy (percentage of correct responses). Statistical analyses, including paired t-tests and independent t-tests, were conducted to determine the effectiveness of each instructional approach. The findings revealed that while the conventional method led to a significant improvement in arithmetic speed in the control group, the Abacus strategy demonstrated a much greater impact, yielding a very large effect size. Comparative post-test results further confirmed that students trained with Abacus strategies outperformed those taught through conventional methods in both speed and accuracy, with a highly significant difference (p < .01). These results highlight the superiority of Abacus-based learning over traditional methods in developing arithmetic fluency and precision. Given its substantial impact, integrating Abacus strategies into primary mathematics education may serve as an effective pedagogical approach for enhancing foundational numeracy skills. Future research could explore the long-term retention of Abacus-based arithmetic skills and its applicability to higher-order mathematical concepts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Effectiveness, Abacus, Speed, Accuracy, Arithmetic, fluency, precision

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Creative Commons Attribution 4.0 and The Open Definition