Volume 12 | Issue 4 |

 Abstract

Migrant labourers, denoted as individuals who relocate from one jurisdiction to another in pursuit of occupational opportunities or enhanced living standards, typically eschewing permanent settlement intentions, thereby proffering their services on a transitory, often seasonal, basis, have persistently confronted instances of discrimination and exploitation perpetrated by contractors, agents, and employers, constituting egregious violations of human rights. Migrants commonly encounter impediments in accessing indigenous health and social amenities, and are susceptible to rights deprivation, either owing to their undocumented status or due to impediments in availing judicial redress. In acknowledgment of the systemic exploitation endured by interstate migrant labourers, the legislative body of India promulgated several statutes, including The Minimum Wages Act, 1948, The Payment of Wages Act, 1936, The Factories Act, 1948, and notably, the Inter-State Migrant Workmen (Regulation of Employment and Conditions of Service) Act, 1979. The Inter-State Migrant Workmen (Regulation of Employment and Conditions of Service) Act, 1979 was legislatively conceived with the explicit objective of overseeing the employment of interstate migrant labourers, enhancing their labour conditions, and addressing associated concerns. The ongoing scholarly inquiry undertakes an examination of the statutory safeguards afforded to interstate migrant labourers, scrutinizing the efficacy of the Inter-state Migrant Workmen (Regulation of Employment and Conditions of Services) Act, 1979 through a comprehensive empirical inquiry conducted within the brick kiln establishments situated in the Bathinda district of Punjab.

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Migrant workers, Inter-State migration, Labor Protection, Human rights violations, Brick kilns.

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This study investigated the effect of using artificial intelligence (AI) tools on English language learning outcomes among high school students. The experimental method was employed, with 200 students randomly assigned to control and experimental groups. The experimental group received English instruction aided by AI tools such as language learning apps, writing assistants, and conversational chatbots, while the control group received traditional instruction methods. Pre-tests and post-tests were administered to measure English proficiency. Student surveys were also conducted to assess perceptions of using AI tools. The results showed significantly higher English scores in the experimental group compared to the control group (p<0.05), indicating the positive impact of AI tools. No significant differences were found based on gender, locality, management type, or subject stream. However, students with English as the medium of instruction performed better with AI tools. Overall, the study provides evidence for the potential of AI to enhance English language teaching and learning in high school settings.

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artificial intelligence, AI tools, English language learning, high school students, experimental method, language apps, writing assistants, chatbots, learning outcomes.

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In this paper, street light fault detection is a crucial aspect of smart city infrastructure, ensuring the safety and efficiency of public lighting systems. Traditional methods for fault detection rely on manual inspections or scheduled maintenance, which can be time-consuming, costly, and ineffective. In contrast, modern approaches utilize advanced technologies, such as Internet of Things (IoT) sensors, data analytics, and machine learning, to enable real-time and proactive fault detection. This abstract similar to the principles and applications of intelligent street light fault detection systems.

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In this research paper, we delve into the fascinating world of warehouse management transformed by automation, aiming to make complex concepts accessible and relatable to all readers. Automation, the integration of advanced technologies into warehouse operations, is changing the game for businesses worldwide. Through a journey of exploration guided by literature reviews and industry insights, we uncover the ways automation is reshaping warehouses for the better. We discuss how automation streamlines tasks, improves inventory control, and boosts efficiency, all while considering the human element--the workers impacted by these changes. By weaving together stories from real-world experiences and practical research findings, we shed light on both the opportunities and challenges that come with embracing automation in warehouse management. Our aim is to offer a down-to-earth perspective on this transformative trend, empowering readers to understand and navigate the evolving landscape of warehouse operations in the age of automation.

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Technologies, Automation, Warehouse, Productivity

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Abstract: Population is a key element for a reason. It represent a community of one or more people living any area. Population is always changing in the context of time and space. that is increase in its qualitative and quantitative characteristics is its natural characteristic. This dynamic trend of population is the result of physical, economic and cultural element, which are controlled by three basic determining factors like fertility, mortality rate and migration. Althrough population growth is a boon for less prosperous and resource rich areas. It provides them new opportunity for development and extensions. However, in densely populated area, it becomes a matter of problem due to decreasing resource and increasing population burden. Since population growth, distribution and structure are seen to have very close relationship with land use, land cover and global climate change. increasing population also affect the demand of any other types of physical resource. As a result, analysis of population growth has been carried out over the period of time by various social scientist, geographers, and planners with reference to several aspects such as jeo-temporal, rural, urban, social economic, religious, regional, age and sex structure, working and non-working, educated and uneducated etc. Therefore in the present context it is a very important to study the negative effect of increasing population and population growth. This research paper present in analysis of the temporal-special pattern of population growth and its distribution in the contest of Katihar district Bihar, which is mainly based on secondary data. There is considerable variation in the population growth and distribution pattern of study area with respect to time and space. according to the 2011 census the total population of the district is 3071 029. 91.01% of it's live in villages while 8.9% live in urban bodies. Kadwa block is the block with highest population and hasanganj is the block with the lowest population bansahi block has the highest decided population growth of 34.6% and kursela block has the lowest population growth 20.6%. According to the presented research paper, the population of the study area is continuously increasing at the rapid pace.

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Keywords : Natural resource, Global Change, Land use , Population change, Fertility, Mortality and Migration.

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 Abstract

The main aim of our project is to utilize the heat which is wasted from the gas burner in kitchen to clean the dishes from hot water. The copper tubes are mounted below the gas burner. The water will be passed through these tubes. Then the water coming out from the copper tubes will be hot as the heat will be transferred from the gas burner and then through the copper tubes to the water. This hot water will be then passed through the PCM i.e. Phase change material. The heat will be transferred from the water to the PCM so that temperature of PCM gets increased and after some time it will change its phase. The water will be then collected in the tank. The flow control valve will be used to control the flow rate of water. The pump will be placed after the tank and the nozzle will be placed so that the water will be sprayed on the dishes to clean. When the burner is in off condition then at that time the heat will be transferred from the PCM to the water so that temperature of PCM will be decreased. But the temperature of water will be increased so that we will get the required output temperature of water to clean the dishes. The 3D model will be drawn with the help of CATIA software. The analysis will be carried out on ANSYS software. The experimental testing will be carried out and then the result and conclusion will be drawn

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Dish Washer Machine, Heat Household Gas

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 Abstract

The calibration curve, constructed at a wavelength of 250 nm, exhibited a linear relationship for Terazosin Hydrochloride Dihydrate concentrations ranging from 50 to 150 g/ml. Terazosin Hydrochloride Dihydrate's limit of detection (LOD) and limit of quantitation (LOQ) were determined to be 0.3983 g/ml and 1.207 g/ml, respectively. These numbers show the analytical method's sensitivity.The proposed chromatographic technique for determining Terazosin Hydrochloride Dihydrate has been shown to be accurate, exact, and efficient. The suggested chromatographic approach was validated in terms of linearity, accuracy, and precision. The percentage of Relative Standard Deviation (% RSD) for all parameters was determined to be less than two, showing that the newly established procedure has been verified and the findings produced using this approach are accurate.

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Method development, Method validation, Accuracy, Linearity, Method precision, Terazosin Hydrochloride Dihydrate.

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Solar energy is rapidly gaining notoriety as an important means of expanding renewable energy resources. As such, it is vital that those in engineering fields understand the technologies associated with this area. Our project will include the design and construction of a microcontroller-based solar panel tracking system with look like a Solar Tree. Solar tracking allows more energy to be produced because the solar array is able to remain aligned to the sun. This system builds upon topics learned in this course. A working system will ultimately be demonstrated to validate the design. Problems and possible improvements will also be presented. Dual axis makes it more efficient and reliable.

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SOLAER TREE SYSTEM

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The proposed system aims to rectify the persistent issue of government schemes not effectively reaching their intended recipients due to administrative lapses. It introduces a user-friendly platform with a seamless registration process, allowing individuals fromdiverse backgrounds to apply for schemes. The administrator's role involves adding scheme details and ensuring the transparent and accurate review of user registrations against predefined eligibility criteria. The system's interface prioritizes accessibility with multi-language support, and the administrator's centralized authority facilitates informed decision-making on scheme applications. Detailed scheme information, including eligibility criteria and application guidelines, is provided to users. A notification system offers real-time updates on application status, promoting user engagement and trust. Security measures are robust, with regular audits to safeguard sensitive user data. Multi-role access control allows for delegation of responsibilities without compromising security. Analytics and reporting tools aid administrators in data- driven decision- making. Public awareness campaigns leverage diverse channels to inform citizens about available schemes and the user-friendly application process. The comprehensive system aims to enhance transparency, accessibility, and efficiency, mitigating the risk of government schemes underperforming due to administrative shortcomings.

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Administrator, E-Government Scheme, Societal sentiments, Bi-Directional Authentication.

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A next-generation educator powered by artificial intelligence (AI) is a revolutionary development in the realm of education, where AI technologies are essential to improving and customizing the learning process. This creative method makes use of AI to give teachers, students, and organizations a variety of tools to empower them and foster a more dynamic and productive learning environment. The convergence of artificial intelligence (AI) and education has spurred the development of AI-powered educators capable of instructing students in diverse subjects and learning environments. This abstract explores the application of AI models as educators, specifically focusing on their role in delivering personalized and effective teaching to students across various educational levels. The next generation of educators, driven by AI, is ushering in a new age in education where technology is used to personalize instruction, offer assistance, and improve the quality of education as a whole. It might democratize education by opening up access to high-quality education to a larger audience and allowing teachers to concentrate on the more personal elements of mentorship and instruction. AI educators leverage advanced algorithms to comprehend individual learning patterns and preferences, thereby tailoring educational content to suit the unique needs of each student. Through intelligent tutoring systems and adaptive learning platforms, AI educators offer personalized guidance, presenting materials in ways that resonate best with diverse learning styles. The AI-powered next-generation teacher is leading the way in the transformation in education during a time of exponential technological growth. In the future, AI will be smoothly integrated with conventional teaching techniques, improving the whole educational environment, according to this paradigm. Its main tenets include accessibility, customization, flexibility, and the ongoing development of both teachers and students. In conclusion, this abstract presents an overview of how Artificial Intelligence can be used in the field of education where teaching and learning can be significantly enhanced, personalized, and made more adaptive through tailored content delivery and the creation of inclusive learning environments that cater to individual student needs.

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 Keywords

AI based next gen educator

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