Volume 12 | Issue 4 |

 Abstract

This project introduces an innovative solution for automating attendance management through facial recognition technology. By harnessing the power of image processing and machine learning algorithms, our system offers a seamless and efficient way to track attendance in various educational and organizational settings. The user-friendly interface allows for easy registration of students or employees, capturing their facial data for identification during attendance sessions. With real-time recognition capabilities, the system accurately records attendance without manual intervention, saving time and resources for administrators. Additionally, comprehensive reporting features enable detailed analysis of attendance trends, contributing to better decision-making and improved operational efficiency. Overall, our automated attendance system revolutionizes traditional methods, offering a reliable and convenient solution for attendance management needs.

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 Keywords

Automation, Attendance Management, Realtime, Analysis

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This research paper explores the landscape of adversarial attacks and defenses in generative artificial intelligence (AI) systems. It provides an overview of different attack techniques and their impact on AI models. The paper also discusses various defense mechanisms, including adversarial training, randomization techniques, and model monitoring. Evaluating the effectiveness of attacks and defenses is discussed, along with the need for ongoing research to stay ahead of evolving threats. The research aims to enhance understanding of adversarial threats in generative AI and promote the development of secure deployment strategies for these technologies.

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 Keywords

Artificial Intelligence, Adversarial, Generative, Gradient, Perturbation, Deep Learning

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The study paper, "MalwareMind: AI-Enhanced Security Solutions," presents the integration of artificial intelligence into cybersecurity systems to counter the increasing complexity of malware threats. The text examines a wide range of AI methods, including Exploratory Data Analysis, Support Vector Machines, Decision Trees, Random Forest, and K-Nearest Neighbors and their respective kernelized models. This demonstrates the critical importance of these methods in improving malware detection and protection. Through a series of case studies, the research paper demonstrates the increased accuracy and versatility of AI-powered algorithms in identifying various types of malware. This signals a phenomenon where more intelligent and responsive security systems are utilized. Due to the evolving nature of cybersecurity threats, "MalwareMind" presents the potential of artificial intelligence to undermine the modern approach to cybersecurity. It has viable approaches to the creation of complex and strong security frameworks.

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 Keywords

Cybersecurity, Exploratory Data Analysis (EDA), Machine Learning, Random Forest, K-Nearest Neighbors (KNN), Kernel Methods, Support Vector Machines (SVM), Malware Detection, Artificial Intelligence (AI).

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GRE Quiz platform transcends conventional learning methods by offering a dynamic and immersive quiz experience. This dynamic tool is meticulously crafted to cater to the unique needs of GRE aspirants, offering a comprehensive array of features aimed at enhancing their understanding and performance across Verbal Reasoning, Quantitative Reasoning. The primary objective of a quiz application is to provide GRE sample papers and practice tests on a regular basis to evaluate their test performance and gain familiarity with the test pattern. Dive into questions mirroring the exam format. This helps in knowing weaker and stronger areas. The three-level quizzes--easy, medium, and hard--offer consumers a personalized experience by letting them choose tests that correspond with their learning objectives.

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 Keywords

User Friendly GRE quiz Platform , Three levels: Easy , Medium , Hard

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Inclusive education entails that all children have access to high-quality education in a welcoming and inclusive setting, regardless of their background, abilities, or impairments. It is giving every child, including those with special needs, equal chances for participation and learning in regular schools within the community. The goals of inclusive education are to break down obstacles, enhance outcomes, and prevent discrimination while fostering diversity, acceptance, and support for all students. It discusses the challenges and barriers hindering the effective implementation of inclusive education practices, This includes issues such as peer pressure, lack of teacher training and adaptability, poor infrastructure, limited parental and community involvement, insufficient collaboration among educational agencies, rejection, geographic disparities, financial constraints, large class sizes, and teacher attitudes and accountability issues. The paper highlights the significance of addressing attitudinal and social barriers to ensure education for all students. It also stresses the necessity for continuous training and assistance for teachers and students to promote a culture of diversity and inclusion in educational settings.

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 Keywords

Inclusive Education, Diversity, Special Needs, Classroom Inclusion, and Educational Barriers

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Background- The SCREEN whether its computer, tablet, laptop, (video games) mobile, and television is a representation of our modern world. The study was conducted to examine the influence of television and mobile as babysitter and it's physiological and psychological hazards on Preschoolers, age 3-5 years. Material and Method- A convenience sample of total 30 parents having children between the age group of 3 to 5 years were included. A semi-structured interview with a combination of open and close ended questions was conducted. The thematic analysis was done for analyzing the content of the interviews. Result and Conclusion- It was concluded from the results that the greatest factor of mobile and television overuse by these preschoolers is the result of ignorant parental attitude. The consequences of using mobile and watching television are that screens might obstruct child's interaction with others and physical exploration of the world--both of which play a role in typical development during early childhood. Research is focusing more on watching television and mobile devices use, and findings indicate that the number of devices, the content, and the duration all play a significant role in determining the impacts of screen time. It was found that laziness/ lethargy is the psychological consequence which had been seen in most children and the physiological consequences that had been found in most of children was difficulty in concentration.

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 Keywords

babysitter, physiological and psychological hazards, preschoolers, convenience sample, open-ended interview, parental benefit, parent's attitude

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The blend of digital technology into judicial system has brought significant development in the administration of justice, reforming the traditional system of judiciary, and expanding the new era of rule of law. The impact of digitalization is examined in the judicial review. Through a comprehensive analysis of scholarly literature, case studies and empirical data; the research paper aims into the multifaceted dimensions of digitalization within the realm of judicial review. Further the research paper examines the opportunities and challenges presented by digitalization for the rule of law, including issues of access to justice, privacy concerns and potential algorithmic bias. It also examines the implication of digitalisation for judicial independence, accountability, and the legitimacy of legal institutions. By critically evaluating the effects of digitalization on judicial review, research paper contributes to deeper understanding of the transformative potential of technology in shaping the future of the rule of the law. The concept of the rule of law has been reshaped from time to time with the need of the society. In the current digital era, it is evolving at an alarming rate. Before we understand the concept and upcoming threats of digitalization of e-judiciary it is becoming the essential part of judicial system. Hence an attempt to analyse the new horizons of the rule of the law in the digitalization and judicial review.

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 Keywords

Digital Technology, Judicial System, Administration of Justice, Traditional Judiciary, Rule of Law, Judicial Review, and Legal Institutions.

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Creative Commons Attribution 4.0 and The Open Definition

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Political activities can affect human life in both positive and negative ways. The aim of this research is to critically analyse the role newspaper in changing people opinions about political issues. Various questions that are raised during the research are mentioned. The impact of newspapers on politics and their influence on the public is highlighted. Through the inclusion of the multi-step flow theory, the influence of newspapers and politics on citizens has been analyzed. Various questions that are raised during the research are mentioned. Through this research, public opinions about the newspaper and political issues are gathered by following primary quantitative method. All the data are further analyzed by using SPSS method. The significant value obtained by analysing the gathered information through SPSS is 0.007 which indicates a reliable outcome. For overcoming the issue of false news, government entities restrict illegal behaviour in journalism sectors and news industries involve A.I. based technologies to determine the fake information in the pool of information.

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 Keywords

Transparency, government entities, public opinions, media, politics, newspaper

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 Abstract

Evaluating subjective answers presents significant challenges for teachers. They must meticulously examine each word to assign scores,considering factors such as their own mental state, fatigue, and objectivity.While machines can easily assess Subjective answers by matching them with concise responses provided by students.Addressing these Challenges of assessment ,this system is being proposed.A previous proposed system for subjective answer evaluation using ML incorporates advanced NLP techniques. The system addresses challenges like handling ambiguity, domain adaptation, and bias mitigation offering an automated approach for fair subjective answer assessments.The proposed system have different modules like Preprocessing Module,Evaluation Module,Result Predicting Module and Similarity Measurement Module.The answers will be checked on basis of the Answer length, Keyword Check, Grammar check,Context and Semantic Similarity and Cosine Similarity against model answer. The software will take copy of the answer as an input and then after the preprocessing step it will extract the test of the answer. This text will again go through processing to build a model of keywords and feature sets. Model answer sets and keywords categorized as mentioned will be the input as well. Classifier will then, based on the training will give marks to the answers will be the final output

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NLP, Contextual similarities, Semantic Analysis,ML,WordNet,Cosine similarity

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Creative Commons Attribution 4.0 and The Open Definition

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Sheetpitta, Udard, Kotha are types of skin disorders.These can be correlated with urticaria in modern science Sheetpitta, Udard, Kotha are having similar symptoms and causative factors,Sheetpitta is one of the disorders caused by virudhahara sevan. Sheetapitta in which vata, kapha are two doshas which causes due to doshaprakopaaka hetu & combination with pitta dosha &creat the symptoms like Varti Damshta Samsthana Shotha(Inflammation like an insect bite), Kandu Bahula(Sever itching), Toda Bahula( excessive pain like pricking), Chardi( vomiting), Jvara( fever), Vidaha(Burning Sensation).etc. There are internal & exertal Ayurvedic medicines which are used in treating these disorders.

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 Keywords

Sheetpitta, Udarda, Kotha, Ayurvedic management

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Creative Commons Attribution 4.0 and The Open Definition