Volume 13 | Issue 5 |

 Abstract

Kani, the aboriginal tribes live in the Western Ghats falling in the districts of Kanyakumari and Thirunelveli. The tribal people live in the forests, mountains and caves of Tamil Nadu. One group of these people is the Kani tribe and called as 'Kani'. The people of 'Kani' live in the hills of districts of Kanyakumari and Tirunelveli in Tamilnadu. These people live in large numbers in the areas of Motihari hill, Kallar, Mudavan Potrai, Peccipparai in the Western Ghats of Kanyakumari district. The paper explores the rituals of Kani tribe dwelling at Kanyakumari district of Tamilnadu.

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 Keywords

Kani tribe, rituals, marriage ritual, death ritual, blessings

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores the convergence of Posthumanist ethics and artificial intelligence motherhood in Peter Brown's The Wild Robot. By analysing the robot protagonist Roz as a maternal figure, the paper reimagines care, consciousness, and ethical subjectivity beyond human boundaries. Situating the analysis within Posthumanist and Feminist Care Ethics frameworks, and supported by Ecocritical perspectives, the study argues that Roz's role challenges anthropocentric ideologies and traditional portrayals of AI as emotionless machines. Through an ethical transformation, Roz embodies a posthuman model of affective relationality, ecological responsibility, and non-biological kinship, thereby offering a radical redefinition of motherhood and moral agency in AI narratives.

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 Keywords

Posthumanism, AI Motherhood, Roz, The Wild Robot, Posthuman Ethics, Ecocriticism, Feminist Care Ethics, Interspecies kinship.

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The contribution of science (AI) within the discipline of training has forever been crucial. From robotic coaching to the event of an automatic device for answer sheet analysis, AI has continuously helped every the academics and additionally the scholars. For the duration of this research we have were given performed thorough evaluation of the numerous analysis developments that had been carried out the world over like laptop technology strategies applied to schooling sector consequently on summarize and spotlight the role of AI in teaching and pupil's analysis. This study shows that AI is that the spine of all of the statistics technology enabled smart train systems. These systems helps in developing characteristics like self-mirrored image, responsive deep queries, partitioning conflict statements, producing artistic queries, and preference-making abilities. This study consisting various AI tools and its benefits, each and every tools to simplify and reduce the time consume, end user may get their wide information, even though novice person also to utilize the tools because it's all embed system. Before get the person information, the end user spoon feed the information to the information through system. Uniformity to make the wrong information it will be rectified through new / update information also it will display modify and created date and time will be stored in the Open AI.

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AI in Education sector, classspoint, Gradescope

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Creative Commons Attribution 4.0 and The Open Definition

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With the advent of internet , the world is changed in a drastic way. Cloud computing can be defined as a computing environment where computing needs by one party is outsourced to another party. Cloud computing is a technology that revolutionizes the traditional model of computing by delivering on-demand access to a shared pool of configurable computing resources, such as networks, servers, storage, applications, and services. The key aspects of cloud computing, including its fundamental characteristics, public, private, hybrid deployment mode & IaaS, PaaS, SaaS service models. The benefits of cloud computing, such as scalability, flexibility, and cost-efficiency, are highlighted along with potential challenges like security and privacy concerns. It also delves into the evolving role of cloud computing in shaping modern IT infrastructures and enabling innovative solutions for businesses across diverse industries.

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 Keywords

Cloud Computing, Evolution of Cloud Computing, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models (Public, Private, Hybrid, Community) , Virtualization

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Fast charging of Electric Vehicles (EVs) requires high power density, efficiency, and reduced ripple in the charging current. This project presents a Three-Phase AC/DC-Fed Two-Paralleled Interleaved Single-Ended Primary Inductor Converter (SEPIC) topology designed for fast charging applications. The proposed converter benefits from interleaving techniques, which enhance power handling capability, minimize current ripple, and improve overall efficiency. The three-phase AC supply is rectified and fed to the paralleled SEPIC stages, ensuring better Power Factor Correction (PFC) and reduced Total Harmonic Distortion (THD). Additionally, the interleaved structure leads to lower Electromagnetic Interference (EMI) and improved thermal performance, making it suitable for high-power charging stations. Simulation and experimental results validate the effectiveness of the proposed topology, demonstrating its capability to deliver stable and efficient power conversion for high-speed EV charging applications.

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 Keywords

Single Ended Primaryb Inductor Converter (SEPIC),Toltal Harmonic Distortion(THD),Eletromagnetic Interference(EMI).

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords - Pineapple peel, Biosorption, Textile wastewater, Synthetic dyes, Adsorption, Agro-waste, Dye removal, Eco-friendly adsorbent, Wastewater treatment, Low-cost adsorbent.

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Motor insurance has become the most recognized business line outside life insurance. This research examines the obstacles motor insurance companies face during claim processing for their policyholders. Insurance plays an essential role through its diverse responsibilities by protecting finances and automobile safety levels, and making the insurance sector profitable. This study provides insight into the various hurdles and novel revelations in the motor insurance industry. A systematic evaluation of earlier studies and case studies combined with journal articles formed the foundation for this assessment. The research demonstrates what rights are provided to policyholders and highlights insurance providers' responsibilities. The findings suggest that Insurance companies can simplify policy terms and offer clearer explanations through simplified documents or digital platforms. Additionally, customer-friendly tools, like interactive online calculators or chatbots, could help buyers select the right coverage more effectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Motor Insurance, Awareness and Recommendations, customer-friendly tools, Third party liability, Digital platforms.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In rural agricultural regions, natural disasters such as floods, droughts, and storms often cause significant damage to farmland and critical assets, delaying relief efforts due to inefficient manual assessment processes. This paper presents a mobile-based solution that enables real-time asset tracking and damage reporting using GPS, image capture, and cloud-based data synchronization. The system empowers farmers to report asset loss directly through a user-friendly interface while enabling government officials to access, verify, and process the claims promptly. Developed with Firebase for backend services and integrated mapping APIs, the platform ensures offline functionality and real-time updates, especially in low-connectivity areas. The proposed system improves the speed, transparency, and accuracy of disaster-related fund disbursement, contributing significantly to the efficiency of rural relief management. Keywords: Disaster Relief, Asset Mapping, Rural Technology, Geolocation, Real-Time Reporting, Firebase, Agriculture

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Creative Commons Attribution 4.0 and The Open Definition

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Disaster Relief, Asset Mapping, Rural Technology, Geolocation, Real-Time Reporting, Firebase, Agriculture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Breast cancer is a major global health challenge, and the importance of early detection in enhancing treatment success and patient survival is well-established. This project explores a machine learning-driven solution designed to classify MRI images as either healthy or malignant. The system is realized as a Python Flask web application, providing a user friendly interface. Users are able to upload MRI images through a web browser, and the application processes these images using a trained model to generate diagnostic predictions. The interface is equipped with a navigation bar, an image upload function with a preview option, and dynamic display of results. Prediction results are visually distinguished, with healthy cases shown in green and malignant cases in red. The system aims to offer an accessible tool for medical professionals and researchers, leveraging advanced machine learning algorithms to support decision-making. This project illustrates the potential of integrating deep learning models within web applications to develop scalable, accessible, and effective diagnostic tools

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 Keywords

MRI Image, Deep Learning, Healthy and Malignant, VGG16, Python Flask,

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 Abstract

The focus of this study is to analyze trends in doctoral research output in the field of nutrition science in India from 2017 to 2021. With the help of control vocabulary like DDC (Dewey Decimal Classification), Sear's List of subject headings etc. we first chose relevant keywords of nutrition . Next, we used the Sodhganga Database to search for doctorate theses using the keywords we had chosen between 2017 and 2021. Next, we examine its growth patterns and plot its movement from 2017 to 2021 using a variety of Bibliometrics techniques. Nutrition theses output show positive growth but the relative growth using RGR (Relative Growth Rate) and the growth trends using the linear growth model suggested growth is delayed in the year 2017 to 2021. A total of 249 theses output are counted in this period and the highest number of thesis outputs is observed in 2017 with a maximum number of 60 theses outputs. 14 relevance topics related to Nutritional science are the focus research areas in India. Out of these 14, the highest number of 59 theses output related to Food Science is observed with a maximum of 23.69 %. Next Child Nutrition has a maximum of 38 thesis outputs related to it followed by Health and Nutrition with a maximum of 13.25 %. South Zone theses output show a maximum of 88 theses outputs with a maximum of 35.2%. University of mysore recorded 30 theses submitted during the year 2017 to 2021 which is the highest among other universities.It is concluded that while growth in Nutritional Science was primarily observed during the pre-COVID-19 phase, its growth over time indicates a delayed nature. Further research is needed to uncover the underlying cause of this phenomenon. This study only focused on pre-COVID-19 Nutritional Science, but post-covid-19 research is needed to gain a better understanding of the overall theses submission scenario in Nutritional Science.

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 Keywords

Food Science; Health and Nutrition, Nutritional Science, Research trend of Nutrition; India-Nutrition Research Trend, Sodhganga,

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Creative Commons Attribution 4.0 and The Open Definition