Volume 12 | Issue 3

 Abstract

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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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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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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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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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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Risk and Return, IT sector, Beta

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This paper presents a study on the development and implementation of a student community platform aimed at enhancing student engagement and collaboration in academic settings. It presents a multitude of advantages for students seeking to establish meaningful connections and enhance their educational experience. Firstly, it provides an inclusive space for students to build communities and clubs, fostering an environment conducive to collaboration and shared learning. The study evaluates the effectiveness of the platform in improving student engagement, communication, and collaboration, based on user feedback and usage data. The study evaluates the effectiveness of the platform in improving student engagement, communication, and collaboration, based on user feedback and usage data. This not only encourages academic growth but also promotes the exchange of diverse perspectives and ideas. By enabling students to create specialized clubs and classrooms, the platform empowers them to take ownership of their learning journey, leading to a more enriched educational experience. The Students Community Platform also streamlines resource sharing, allowing students to upload and distribute study materials, notes, and relevant resources within their respective clubs. Furthermore, the platform supports the creation of events and announcements, fostering a well-rounded educational experience that encompasses both academic pursuits and extracurricular activities. This ensures that students remain engaged and informed about the various opportunities available within their community. The results indicate a positive impact on student engagement and collaboration, highlighting the potential of such platforms in enhancing the overall learning experience.

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Content Filtering, Leaning Platform, Student Community

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GradeCraft is an advanced application designed to streamline and enhance the process of student t performance reporting within educational institutions. This innovative system offers a secure and efficient platform accessible exclusively to department staff and Heads of Departments (HODs). With a commitment to data privacy and confidentiality, GradeCraft ensures that sensitive student information is safeguarded while providing a user-friendly interface for authorized personnel. This comprehensive application enables department staff and HODs to easily access and analyze student performance data, promoting informed decision-making to enhance the overall academic experience. Through GradeCraft, educators can generate customized reports, track academic progress, and identify areas for improvement, contributing to a more proactive and responsive approach to student success. The key features of GradeCraft include a robust authentication system that restricts access to authorized personnel only. This ensures the integrity of student data and prevents unauthorized users from compromising sensitive information. The application also boasts a user-friendly interface with intuitive navigation, allowing department staff and HODs to efficiently retrieve relevant information without unnecessary complexities

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eassy access for data collection and visualization

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Carbon Fiber Reinforced Polymer (CFRP) Composite Materials are Comes Under the Advanced Class Composite Materials, Are Commonly Preferred in Strategic Applications. However, the brittleness, air bubbles formed during the preparing of reinforcement resin, crack-prone matrix, and Fiber-matrix interface with a weak adhesion usually contribute to the failure of composite structures in terms of delamination and catastrophic failure. So, in the current work, Epoxy matrix CFRP composites are made using a hand lay-up process with varied amounts of Graphene Oxide (GO) (0%,0.25%,0.5%, and 1%) as a Nano Filler with Epoxy Polymer and nearly 90% of air bubbles are removed with the help of vacuum pump and desiccator. The samples will be Prepared According to the ASTM Standards and Tested Under Tension and 3 Point Bending Conditions. The maximum tensile strength, maximum flexural strength of 866.67MPa and 761.22MPa were observed for the 0.25%, 1% GO reinforced composites respectively.

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Composites, CFRP, Epoxy Resin, Carbon Fiber, Tensile test, Flexural test, Graphene Oxide (GO), Epoxy, Hardener

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Agribusiness has made a significant global commitment to enhancing the nation's financial responsibility. Nevertheless, due to the lack of organic framework control innovations, the majority of farming areas are still in their early stages of development. These problems prevent enhanced yield creation, which has an effect on the farming economy. From this point on, a redesign of the cultivating benefit is dependent on the assumption of plant yield. Agricultural zones must use ML methodology to predict the production from a given dataset in order to combat this problem. the coordinated use of ML algorithms to examine the dataset. Here, we'll forecast the yield in the event that a particular crop is chosen; otherwise, we'll use the parameters to forecast the yield of every crop. District name, season and year.

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Dataset, Machine Learning-Regression methods, Mean absolute error, R2-score.

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Documenting traditional medicinal plant species is crucial in Bihar for biodiversity conservation, bioactive chemical extraction, and the preservation of indigenous knowledge. Native populations in Bihar have used a wide array of traditional medicinal plants to treat a variety of human and cattle diseases. The goal of this study was to collect and identify plants used by indigenous peoples for therapeutic purposes, as well as to document information on traditional herbal medicine. Plant sample were collected from Gaya's Brahmayoni hill. Ethnobotanical research of three therapeutic plants from Gaya's Brahmayoni hill, namely Pithecellobium dulce, Ziziphus jujuba, and Gymnema sylvestre, is now underway. The ethnomedicinal herbs that have been described are commonly used for anaemia, eye irritation, antimicrobials, diabetes, arthritis, and other conditions. As a result, proper recording and identification of plant species used, as well as herbal preparation, are necessary to preserve traditional treatment expertise. To avoid extinction, it is recommended that local populations participate in the cultivation of the most regularly used medicinal herbs.

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Ethnobotany, Pithecellobium dulce, Zizipus jujuba, Gymnema Sylvestre.

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Abstract : Giving Gifts to our family, Friends and other persons in various occasion is universal practice in almost every country and culture. Every year billions of Money are spend in different occasion for giving Gifts. Gifts can help in building interpersonal relationship and also encourage happiness of giver and receiver. But selection of appropriate gift is also important. Man and women both are basically different in nature while behaving in social relations so as tendency of choosing and giving gifts by male and female are naturally different. Some studies says that Women are more effectively select the gifts then that of men. So in this study our motive is to find out the gift behavior of male and female consumers at Raipur city. This study is a comparative analysis between the behavior of man and women while purchasing a gift in different occasions. And also a further study of the research paper written by the researcher herself named "Evaluation of behavior of female consumer while purchasing a Gift "This study shows that while choosing gift mostly women take their family in to consideration, they usually choose products which will be useful for the gift receiver. They also consider place from where they are going to purchase gift and price as per their budget, occasion, and importance of gift receiver. They like decorative packing material while gifting a product. While the male consumer prefer to give cash amount as gift as they consider that it is more useful then the products. While purchasing a product they are more brand oriented and choose product useful product in daily routine and according to budget.

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Index terms : Female Consumers, Male Consumers, purchasing habits , Gift purchaser, Gift Items, Gift behavior.

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The present paper is an attempt to explore the influence of vedantic philosophy on W. B Yeats and T. S Eliot. Yeats was highly influenced by three Indians, Swami Purohit with whome he translated Bhagwat Gita, Upanishads, Mohini Chatterji and Rabindra Nath Tagore. Poems of Yeats like - Mohini chatterji, Second coming and Eliot's major works such as The waste land, Four Quartets, Traditional and Individual talent echoes Indian Philosophy. The main essence of vedantic philosophy is vision of rebirth and the fruit of karma. Everybody needs to know the essence of life, which is non-duality, means all the living and non-living are the manifestation of the same ultimate reality. Having this knowledge of essence one can promote equality to achieve peace and the true spiritual nature of human existence. Keywords- Upanishad, Vedanta, Knowledge, Philosophy

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INFLUENCE OF VEDANTIC PHILOSOPHY ON W.B YEATS AND T.S ELIOT

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Despite the concerted efforts of the central and state governments and other immunization stakeholders, full immunization rates in India remains low. This paper outlines the findings of a comprehensive review of the Universal Immunization Programme (UIP) and provide recommendations to formulate an action plan for improving routine immunization coverage. A mixed-method approach was adopted to collect data under four thematic areas, namely programme implementation, vaccine logistics and cold chain, data recording and reporting system, and programme communication in five high priority states. Results obtained for indicators under each thematic area, were then divided into four categories: a) >=90 % - good, b) 70-90%-fair, c) 50-70 % - average and d) < 50 % - poor. The review was undertaken in five high-priority states - Bihar, Madhya Pradesh, Maharashtra, Rajasthan and Uttar Pradesh. Four districts were selected base on a scoring criterion from each state. The programme implementation was found average ranging from 53.6 % to 63.8 % and the mechanism of vaccine logistic and cold chain was fair ranging from 71.0 % to 79.4 % across all the states. The mechanism of data recording and reporting was poor in Madhya Pradesh (36.8 %) and Maharashtra (47.0 %) and average in the remaining three states. Programme communication needs considerable improvement. Except Madhya Pradesh (62.4 %), the communication activities were poor in the other four states. The methodology of the review will help in identifying critical gaps and strengths in the immunization processes and in formulating an immunization coverage improvement plan (ICIP) in the states.

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Comprehensive review Universal immunization programme Program implementation Thematic area Mechanism Immunization coverage improvement plan (ICIP)

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 Abstract

??????? ????? ??????? ??????? ??? ?? ???????? ???? ?? ????? ?? ??????? ?? ??? ?? ???????? ?????? ??????? ??? ???? ??????? ??????? ?? ??? ?? ?????? ??? ????????? ????? ??? ????? ????? ??? ?? ???? ???????? ????? ?? ??????? ?? ??? ?? ????? ?? ??? ??? ???? ?????? ?? ???? ???? ??? ?????????? ??????? ?? ??????? ??? ?????? ?? ???????? ?? ??? ??????????? ?? ???? ???? ??: (i) ?????????? ??????? ???? ?????? ?? ??????? (?????, ?????? ?? ?????????????); (ii) ?????? ???????? ?????? ??????? ?? ???????? ?? ??????????????; (iii) ?????????? ??????? ?? ??????? ????????; ?? (iv) ??????? ????????? ??? ???? ???? ?? ?? ?????? ?? ????? ???? ???? ?????????? ????? ??????? ????? ??????? ???? ?? ??? ?? ??? ?????? ???? ?? ?? ?????????? ?????????? ??? ??????????? ????? ???? ?? ????? ???? ?????? ???? ?? ?????? ????? ??? ????? ???????? ?????? ?? ??????? ???????? ??? ??????? ??????? ?? ??? ???? ?? ??????? ?? ?????? ??? ?? ?? ???? ?? ?????? ???? ??, ????? ?? ???????? ?????? ??? ?? ?? ?????? ?? ?????????? ?? ??????? ??? ?? ????? ?? ??? ????? ?????? ???? ???? ??????

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????? ???????? ????? ?? ???????, ??????, ???????? ?????

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The genus Argyreia is known as 'woolly morning glory' or 'small wood rose' and is the second largest genus of the family Convolvulaceae. This review focuses on the Ethnobotanical uses, phytochemical analysis, and pharmacological studies done on the seven Argyreia species. Qualitative phytochemical studies showed the presence of Alkaloids, Flavonoids, Phenols, Terpenoids, Steroids, Saponins, Tannins, Glycosides, Proteins, and Amino acids in most of the Argyreia species. Argyreia nervosa possesses various Alkaloids and many other compounds having hallucinogenic, analgesic, anti-inflammatory, antiviral, antidiabetic, antioxidant, anticancer, and antidiarrheal activities. Compounds like Embelin, Mupirocin, Lupeol, and many other compounds present in Argyreia cuneata and Argyreia setosa have antioxidant, antimicrobial, anti-Inflammatory, and antidiabetic activities. Argyreia Pilosa, Argyreia roxburghii, Argyreia cymosa, and Argyreia pomacea contain Alkaloids, Flavonoids, Phenols, Tannins, Steroids, Fixed Oils, Glycosides and Amino acids containing antipyretic, antioxidant, wound healing activities and Cardiovascular effects.

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Argyreia nervosa, Argyreia pomacea, phytochemistry, pharmacology, Ethnobotany

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In the era of unprecedented data generation, the realm of Big Data analytics has emerged as a cornerstone for extracting valuable insights. This research paper delves into the dynamic domain of real-time Big Data analytics, shedding light on both the advancements that propel its growth and the formidable challenges that impede its seamless integration. The paper commences with an exploration of the technological strides that have propelled real-time Big Data analytics into the forefront of data-driven decision-making. From the evolution of distributed computing frameworks to the advent of cutting-edge machine learning algorithms, an in-depth analysis is presented to illustrate the transformative impact of technological advancements on the efficacy of real-time analytics. However, as the landscape of real-time Big Data analytics evolves, it encounters formidable challenges. This paper meticulously examines the hurdles that impede the smooth execution of real-time analytics processes. Issues such as data security, scalability, and the intricacies of stream processing are dissected, providing a comprehensive understanding of the challenges that demand innovative solutions. Furthermore, the research critically evaluates existing solutions and methodologies employed to address the identified challenges. It explores the synergy between real-time analytics and emerging technologies like edge computing and artificial intelligence, offering insights into the potential avenues for overcoming existing limitations. In conclusion, this comprehensive review synthesizes the state-of-the-art advancements and challenges in real-time Big Data analytics, providing a holistic understanding of the current landscape. By amalgamating technological progress with the intricacies of implementation, this research paper serves as a valuable resource for researchers, practitioners, and organizations navigating the complex terrain of real-time Big Data analytics.

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data science , data analysis , AI

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Creative Commons Attribution 4.0 and The Open Definition