Volume 12 | Issue 3 |

 Abstract

In recent years, machine learning techniques have revolutionized the field of computer vision, particularly in the detection of gender and age from visual data. This paper presents a comprehensive analysis of two popular machine learning models, Support Vector Machines (SVM) and Convolutional Neural Networks (CNN), for gender and age detection tasks. The study evaluates the performance of SVM and CNN algorithms on diverse datasets and assesses their effectiveness in real-world applications such as advertising, security, healthcare, and surveillance. Results indicate that CNN-based approaches generally outperform SVM in terms of accuracy and robustness, owing to their ability to automatically learn hierarchical features from raw image data. However, SVM models exhibit advantages in computational efficiency and interpretability. The findings underscore the significance of gender and age detection in various domains, including personalized advertising, enhanced security measures, and improved healthcare diagnostics and treatments. This research contributes to the ongoing discourse on leveraging machine learning advancements for societal benefit and underscores the importance of choosing appropriate algorithms for specific applications in gender and age detection.

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 Keywords

Machine Learning, Convolutional Neural Network, Gender Classification, Age Classification, Support Vector Machine

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Deepfake detection is based on a deep learning model. Deepfake content is created with the help of artificial intelligence and machine learning to replace one person's face with another person's face in pictures. These manipulated pictures will undoubtedly have an enormous societal impact. Deepfake uses the latest technology like Machine Learning (ML), and Deep Learning (DL) to construct automated methods for creating fake content. We use the DFDC dataset for training the model, it contains 100,000 videos of more real and fake videos. To identify real and fake images using various Convolutional Neural Network (CNN) models, namely EfficientNetB0, VGG-16, and Xception. Our primary objective is to determine the model that yields the highest accuracy in identifying deepfake images. Initially, we preprocess videos from the DFDC dataset, extracting frames and preparing them for input into CNN models. Subsequently, we construct and train each CNN architecture on the preprocessed data, integrating techniques like data augmentation to enhance model generalization and resilience. Performance evaluation utilizes metrics such as accuracy, precision, recall, and F1 score.

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 Keywords

Deepfake Detection, Deepfake Image, Convolution Neural Network, DFDC Dataset

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Purpose: The purpose of this study is to identify ways by which classification and cataloguing services in the university libraries can be made more effective through the application of TQM techniques. Methodology: A total of five renowned universities of Assam are purposely sampled. The study assesses the current culture for quality management systems and also focuses on the cataloguing and classification skills of the staff. The user satisfaction level is also studied and the challenges they face in retrieving information. It investigates the idea of how timeliness is maintained, what schemes and rules are followed by those libraries and through what mode based on the principles of TQM. Findings: Study revealed that shortage of professional staff acts as the main barrier to process TQM. Recommendations are made to prioritize the needs of the users by providing excellent training to the staff. Value: The study has proven the users' requirements and the necessary actions that have to be implied to improve the efficiency of the staff. Moreover, it also focused on the proper utilization of time.

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 Keywords

TQM; University Libraries; Library Cataloguing; Library Classification

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Recommendation System are software application that provide or suggest item to user these System use filtering techniques to provide recommendation. The Purpose of this recommendation System provide services to small or part time Workers. It has been observed by the team that Recommendation System that are studied have not focused on small wokers like electrician and carpenters, plumber, mechanics but the corporate people.The recommendation system has been implemented in the android programming language.The results obtained were quite accurate which helps to recommend jobs to workers and workers to customers in the required work field.Where a job seeker applies to a job by creating a profile on a job portal by providing all his/her work preferences.These work preferences of each user can be collected from each user and provide worker recommendation based on their preference.

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Worker Recommendation System

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The primary aim of this study is to assess the impact of Titanium dioxide (TiO2) nanoparticles on the performance enhancement, combustion efficiency, and emission reduction of cotton seed oil biodiesel (B20) in a single-cylinder 4stroke VCR diesel engine under varying loads (3, 6, 9, & 12 kgf) and a constant pressure of 180 bar. TiO2 nanoparticles were incorporated into B20 at concentrations of 25, 50, and 75 parts per million (ppm). Remarkable enhancements in engine operating parameters were observed with the utilization of Nano fuel, particularly across different load conditions. At a load of 9 kgf, key combustion parameters such as net heat release rate (NHRR), mean gas temperature, cylinder pressure, and brake thermal efficiency (BTE) exhibited notable increases of 18.46%, 5.74%, 12.29%, and 10.72% respectively. Moreover, the brake-specific fuel consumption (BSFC) decreased by 7.69% with B20 containing 75 ppm TiO2. Compared to conventional diesel, there were significant reductions in emissions, including carbon monoxide (CO), hydrocarbons (UHC), and smoke opacity, showing decreases of 74.46%, 10.78%, and 42.24% r .

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Cottonseed Biodiesel, Titanium dioxide, Performance parameters, Combustion characteristics, Emission

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Purpose: The purpose of this paper is to study and describe several factors influencing purchase decisions of life insurance products through the review of research articles and research theses. It also includes the classification of these variables into different categories. The study includes a wide range of factors that can be considered as influencing variables while making a life insurance purchase decision. Design/ methodology/approach - The research papers are analysed on the bases of searching the keywords related to factors influencing Life insurance purchase decisions in various published journals, working papers, and some other Ph.D. theses. These papers have been collected over the years. These articles are segregated into personal, social, psychological, demographic, social, cultural, functionality factors, and many more. Practical implications - The practical implication of the research is that companies, policymakers, and issuers of life insurance can watch out for investors' interests under psychological and behavioral factors before issuing new policies into the market. Under the Social Implication, investors can recognize several factors from functionality and other areas to make sound investment decisions and can also minimize their risk. Originality/ value - The essence of this paper is the identification of a wide range of factors and the literature related to them. The study is based on both, the literature on factors influencing life insurance decisions. This paper does not only focus on identifying the factors but also on understanding how these factors can influence the process of decision-making. Thus, this paper generated interest in the readers to find different categories of factors and their influence in making a worthy purchase decision.

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Life Insurance, Purchase decisions, Investment decisions, customers, factors.

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The first reference of Kupipakwa Rasayana is found in Rasaprakash Sudhakar of Acharya Yashodhara in 12th century where the formulation is named as Udayabhaskara Rasa in the context of Rasa bhasma. Kupipakwa Rasayanas are the unique Murchana yogas of Parada. The formulation are prepared in glass bottle with the aid of Valukayantra. Mercury has a great affinity to the sulfhydryls or thiols. The mercury atom or molecule will tend to bind with any molecule present that has sulfur or a sulfur-hydrogen combination in its structure. Hence, globules of Parada molecules disintegrated rapidly in sulfur during the preparation of Kajjali. There are also procedures and samskaras mentioned to potentiate the formulations or drugs. One such samskara (process) is mardana samskara that is used as a purification procedure of Parada as well as a bhavana for preparing Khalviya yogas (preparation made in mortar and pestle). SEM study suggests more fine nature of kajjali prepared in 7days(micron to nano size) than prepared in 2 days( 1 to 10 micron size) . 7)For the effective role in therapeutic bio-availability of metallic and mineral preparation,particle size is one of the important factor as it decides the permeability of drug through cells, tissues and blood capillaries.(Goldberg, M., Langer, R. and Xinqiao, J., Nanostructured materials for applications in drug delivery and tissue engineering. J. Biomater. Sci. Polym. Ed., 2007, 18(3), 241-268).

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 Keywords

kupipakva gandhak . kajjali, valukayantra, khalviya yoga, murchana yogas, mardana,samskara

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The HOSTEL ADDA is a comprehensive online platform that allows users to search for and book suitable hostels based on their preferences and require-meuts, The website provides a user-friendly interface that enables users to easily navigate and search for hostels based on various criteria such as location, price range, facilities, and availability. The website offers a range of features and functionalities including a secure and reliable booking sys-tem, reviews and ratings from previous guests, and detailed information about each hostel such as photos, descriptions, and amenities. The website also includes additional features such as maps, virtual tours, and information about local attractions to enhance the user experience. The main objective of the hostel finding website is to provide an efficient and reliable platform for users to find and book suitable hostels that meet their needs and preferences. The website aims to offer a comprehensive listing of hostels that includes detailed information about each hostel, making it easy for users to compare and select the best options. The website also focuses on ensuring that the booking system is secure and reliable, and that users can easily book their preferred hostels online. Reviews and ratings from previous guests help users to make informed decisions about the quality of the hostels, while additional features such as maps and virtual tours make it easier for users to plan their trips. Overall, the hostel finding website is an essential tool for anyone looking to find and book hostels online. With its comprehensive listing of hostels, user-friendly interface, and additional features, the website provides an efficient and reliable platform that makes it easy for users to find and book suitable hostels that meet their needs and preferences.

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online platform, search, book, user- friendly interface, criteria, location, price range, facili- ties, availability, secure booking system, reviews, ratings, detailed information, photos, descriptions, amenities, maps

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Creative Commons Attribution 4.0 and The Open Definition

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In recent years India has seen a tremendous growth in the number and types of institutions providing higher education. In order for organizations and individuals to remain competitive in a rapidly changing environment, demand for education and training has become more critical than before. To respond to this demand, new institutions have continued to emerge. At present, India has about 304 Universities, including 62 Deemed Universities, 11 open Universities, and 15,000 colleges, incorporating approximately 10 million students and 0.5 million teachers. The performance of higher education institutions is a growing concern. The pressure for quality assurance poses a major challenge for higher education as in case of many developing countries including India. With increasing interaction of commerce, trade and education across national borders, needs for measures of the quality of education in a given country or region are growing each year. NAAC is an autonomous institution, established by the UGC in 1994. The primary objective of NAAC is to assess and accredit institutions of higher learning with an objective of helping them to work continuously to improve the quality of education. The aim is to provide universities with the best evidence for informing their focus and models for quality improvement. According to the Ministry of Human Resource Development, India, only about 10-11% of the population in the relevant age-group is enrolled in higher education, and a mere 5% graduate with degrees. Quality assurance refers to the policies, attitudes, actions and procedures necessary to ensure that quality is being maintained and enhanced. Accreditation refers to an evaluation of whether an institution qualifies for a certificate status. The purpose of this paper is to determine the state of research in a review of quality assurance in higher education institutions based on a review of the academic literature

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Quality Assurance, Higher Education Institutions, UGC, AICTE, NAAC, NBA, QAA

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This study conducts a comprehensive analysis of the risk and return profiles of Information Technology (IT) companies over a five-year period from 2019 to 2023. The IT sector is renowned for its dynamism and innovation, yet it is also subject to significant market volatility and risk factors. This research aims to provide investors, analysts, and policymakers with valuable insights into the performance and stability of IT companies, thereby facilitating informed decision-making. The findings of this research contribute to the existing body of knowledge on financial analysis and investment management within the IT sector. They also offer practical implications for investors seeking to optimize their portfolios and mitigate risk exposure in the rapidly evolving landscape of technology-driven industries. Overall, this study underscores the importance of conducting thorough comparative analyses to assess the risk and return characteristics of IT companies, thereby assisting stakeholders in making informed decisions in the pursuit of their financial objectives.

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 Keywords

Risk and Return, IT sector, Beta

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Creative Commons Attribution 4.0 and The Open Definition