Volume 13 | Issue 6 |

 Abstract

Work-life balance forms a major characteristic of the quality of work and life of individuals especially women, who are trying to deal with multiple roles (e.g. employee, partner, and career). The balance does not always denote an equal distribution of time, energy or other resources between the work and non-work domains but is a highly individualized and an impulsive concept of being able to manage one's work, family and personal life in a self-fulfilling way. This research study is exploratory and empirical study in nature. Simple random sampling method was used to collect data from 100 Female employees working across various IT Companies in Gwalior District. Data was analyzed through SPSS and Regression analysis was applied to check the hypotheses of the study. The findings state that work life balance is having significant impact on job satisfaction and employee performance.

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 Keywords

Work life balance, Job Satisfaction, IT, Female, Employees

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the development of more automated and adaptive learning environments, a large part of it is to use artificial intelligence in machine-generated multiple-choice questions (MCQs) generated from a combination of different sources. Therefore, we propose a novel intelligent Quiz Generator with which an educator can automatically generate multiple choice questions (MCQs) with high quality questions as well as contextually relevant and challenging questions. In the proposed system, we propose large language model with high quality questions and retrieval augmented generation (RAG) and some optimization techniques for prompt engineering for generating very high quality and contextually relevant quiz questions. A chain-of-thought and self-refine prompting techniques are applied for enabling the model to generate questions that not only are consistent with learning objective but also take into account the common student misconceptions. In addition, we apply performance matrix to support the analysis of individual learning progress of each student. The matrix takes into consideration the results of previous questions, which finds areas of strength and weaknesses, and adjusts future quizzes accordingly to foster accurate discovery of learning needs among students. Based on extensive evaluation we could conclude that the automated system can generate various and adaptive MCQs with higher engagement and comprehension of students. With the aid of artificial intelligence and adding performance analytics, this project provides a reliable and innovative solution for automatic quiz generation and moving forward Personalized.

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 Keywords

Student Misconceptions Analysis, Performance Analytics, Automated Quiz Generation, Student Engagement and Comprehension , Chain-of-Thought Prompting

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Goods and Services Tax (GST), implemented in India in 2017, introduced a unified indirect tax regime. A key feature of this reform is the Input Tax Credit (ITC) mechanism, which allows businesses to claim tax credit on inputs used in operations. This study explores the impact of ITC on business operations in Coimbatore, a significant industrial hub. The study uses a descriptive research design, drawing from primary data collected via a structured questionnaire with 250 respondents and secondary sources. The findings highlight that while ITC improves profitability and compliance, challenges such as technical issues, delayed refunds, and awareness gaps persist. The study recommends targeted training and improved system efficiency to maximize ITC benefits.

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 Keywords

GST, Input Tax Credit, Business Operations, Compliance, Coimbatore, SMEs.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Allium sativum L., also called as Garlic has always remained a dietary item and an age-old remedy with proven antimicrobial efficacy. This study attempts to investigate in comparative terms and test the antimicrobial activity of sun-dried, air-dried, and wet garlic against selected bacterial strains. The zones of inhibition from each garlic sample on Mueller Hinton agar seeded with the respective bacteria were measured by the agar disk diffusion technique. However, there existed clear discrepancies in the antimicrobial activity depending upon the kind of garlic tested and the strain of bacteria involved in the testing. Thus, air-dried garlic was most potent in inhibiting Staphylococcus aureus, whereas sun-dried garlic was strongest in its antimicrobial activity against Escherichia coli. Least antimicrobial activity against both strains was manifested by the wet garlic, suggesting a drying process that may increase the bioavailability or concentration of bioactive compounds, such as Allicin. Therefore, the results of this study prove that any difference in the processing of garlic significantly affects its antimicrobial activity; hence, the differences ought to be taken into consideration in clinical and food preservation uses. Thus, the natural antimicrobial activity of dried garlic is accentuated here, with considerable implications in pharmaceuticals, nutraceuticals, and food safety.

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 Keywords

Disk diffusion, zone of inhibition, bioactive compounds, antimicrobial

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This solution is forward thinking for Fault Diagnosis of Solar Street Light using Wireless Network, which will make sure that the Solar powered street lights are reliable and efficient. This system integrates the wireless communication technology RF and GSM to monitor the health of lone components like solar panels, battery and circuits in an individual street light all the time and can detect whenever the fault enters in these components. Data obtained is transmitted over a network of street lights having a centralized node that is able to send the real time status of all street lights in the area to the maintenance office. This method enables easy determination and correction of difficulties and thereby it cuts off the downtime and the related maintenance expenses. The system promotes the sustainability of urban infrastructure in energy conservation and public safety by the means of uninterrupted street lighting with the use of wireless technology. In doing so, this project fulfills the requirements for efficient fault detection, provides support for the use of renewable energy as well as the development of smart city initiatives, through use of intelligent monitoring systems.)

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 Keywords

Solar Energy, Smart Street Lighting, Fault Detection and Diagnosis, Wireless Sensor Networks (WSN), IoT, Infrastructure

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Web-Based AI Voice Assistant is an intelligent, browser-accessible virtual assistant designed to enhance productivity, accessibility, and natural human-computer interaction through voice commands. Built using a hybrid architecture combining Python for AI processing and Node.js for backend command execution, the system integrates multiple advanced modules that support offline speech recognition, multi-turn command understanding, and real-time task automation. The assistant allows users to control desktop applications, search the web, play music, manage tasks, and interact with dynamic content--all through voice or text input. Using speech_recognition, pyttsx3, and pyautogui, it captures and processes offline speech, generates real-time captions, and simulates user actions. The frontend is developed using HTML, CSS, and JavaScript, enhanced via Eel to provide a seamless chatstyle interface that supports both voice dictation and command input. Users can toggle between command and dictation modes, initiate music playback from local or online sources, search YouTube, access maps, and use sticky notes, all while maintaining full control through intuitive voice interactions. The assistant also supports persistent state management, allowing tasks and chat logs to be saved or exported. Experimental validation shows the assistant delivers lowlatency interaction, effective context retention, and versatile support for various productivity tasks, making it a scalable and user-friendly AI solution for daily desktop and web-based use.

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 Keywords

AI Voice Assistant, Web-Based Assistant, Offline Speech Recognition, Voice Dictation, Desktop Automation, Eel, Multimodal Interaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

peer support, burnout, social intelligence, working professionals, positive environment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The introduction of artificial intelligence (AI) has had a big impact on environmental, social, and governance (ESG) disclosures in sustainability reporting. AI increases the ability of companies to gather a lot of data, notice ESG trends, analyse any risks, and publish more accurate details about their impact. This allows those involved in managing the financial sector to use more open, reliable, and easy-to-use ESG information. Therefore, making decisions is easier, following progress gets clearer, and dedication to sustainability increases. Even so, using AI in ESG reporting leads to some important matters to consider. Greenwashing is one of the main challenges because companies might misrepresent their positive actions in the name of sustainability thanks to tools powered by AI. In many cases, ESG disclosures that are not truthful, which are commonly related to a desire for a good reputation or more money, may lead stakeholders to doubt the truthfulness of the company's environmental, social, and governance activities and bring disrepute to the company. Unregulated use of AI can make the ESG data less reliable and more open to being used incorrectly. Currently, it is still difficult for companies to use GRI, SASB, and TCFD frameworks to handle AI matters in their ESG reports. There is also a gap in how the current laws and regulations deal with the special issues of AI in sustainability reporting. It looks into the threats that might stem from AI ESG reporting, mainly related to AI washing and greenwashing. It underlines that effective rules are needed and asks the government and businesses to use AI in ESG reporting in a clean, honest, and responsible way.

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 Keywords

Artificial Intelligence, ESG Disclosures, Greenwashing, AI Washing, Regulation, Sustainability Reporting.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Industry 4.0, the fourth industrial revolution, is the cyber-physical transformation of manufacturing. Digitization and intellectualization of the manufacturing process are the needs of today's industry. Today's manufacturing industry is changing from mass production to specialized production. Rapid advances in manufacturing technology that help to increase productivity become possible with the knowledge of different mechanisms and their industrial applications in a complex form with computer and sensor control. During the study of different mechanisms Geneva mechanism is found to have a wide application in automation and towards industry 4.0 in industries like packaging & shifting, production and assembly lines, liquid filling equipment, coal handling, steel plants, bottling plants, etc. The paper presents theoretical and practical aspects based on the Geneva mechanism model. This type of mechanism is an example of an intermediate device that converts continuous rotation into intermittent rotary motion. It consists of alternating periods of movement and rest. The most commonly used are the gear mechanism, cam-wheel mechanism, and intermediate gear mechanism. Compared with the four mechanisms, the noise of the inflated mechanism is large and the accuracy is low. The cam-wheel is very accurate and can be controlled with various motion curves, but the processing requirements are quite high. The impact of the intermediate gear mechanism is large and requires a light load. The purpose of this project is to build a model of an automatic paper-cutting machine. A Geneva drive is an indexing mechanism that changes continuous motion into intermittent motion, moving between equal intervals when cutting paper. This tool is used to reduce manual paper cutting and save time. This machine is useful for the paper cutting industry and we can avoid human labor and error.

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 Keywords

Keywords- Geneva Mechanism, Industry 4.0, intermittent motion, Production, Manufacturing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The transition to electric vehicles (EVs) is crucial for tackling environmental and sustainability challenges in urban areas like Delhi. With rising pollution and growing dependence on fossil fuels, cleaner transportation alternatives are increasingly important. Although government initiatives and incentives support EV adoption, uptake in Delhi remains modest. This study explores the key factors influencing consumer preferences and purchase intentions toward EVs in the region.

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 Keywords

Delhi o Environmental o Adoption o Awareness o Infrastructure o Intentions o Purchase o Concern o Analysis o Consumer

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Creative Commons Attribution 4.0 and The Open Definition