Volume 13 | Issue 1

 Abstract

AI has revolutionised the media industry by making content creation, curation, data analysis, advanced advertising techniques easy and possible. It also altered the workplace dynamics, replaced humans in certain job roles, and created some ethical issues. This study explores the ethical implications of AI-assisted creative writing in media and in literature, a growing field where artificial intelligence tools are an alternative for human creativity. The study clearly states the ethical concerns arise on the authorship, originality, copyright, bias, and the social and cultural impact of AI in creative writing. The methodology was adopted by analysing existing literature and case studies of current AI applications in writing. This research's sole objective is to provide a comprehensive overview of the ethical challenges faced by content creators, media persons and society. It concludes with a discussion of potential frameworks and guidelines to address these issues responsibly in future.

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Artificial intelligence, media industry, impact, ethical considerations, content creation

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The Automatic Exam Paper Generator is an innovative system designed to simplify and enhance the examination process in educational institutions. This system automates the generation of question papers based on predefined data and syllabus, incorporating Bloom's Taxonomy to ensure balanced and structured question sets. Additionally, it securely transmits question papers using cryptographic techniques to authorized individuals. The system also includes an automated answer evaluation feature that utilizes a keyword matching algorithm for subjective assessments, reducing human error and workload. By streamlining question paper preparation and evaluation, this solution saves time, enhances efficiency, and supports educators in managing extensive syllabus with ease.

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 Keywords

AI, Automation, Exam Paper Generation, Question Paper Customization, Educational Technology, Web Application.

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Polarised Raman Spectra of 3-Amino-4fluoro and 3-amino-4-Bromo Benzotrifluorides have been recorded in liquid phase on a Jovin Yvon Ramanor HG.2S spectrometer and a 1403 spex monochromator in the region 100-4000 cm-1. Infrared spectra were recorded on a Perkin-Elmer 783 and FTIR model, Cygnus-100 spectrometer in the region 400-4000 cm-1. Vibrational assignments for the observed frequencies have been proposed assuming Cs point group symmetry.

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Raman and IR spectra, vibrational frequencies, normal mode,3-Amino-4-fluoro and 3-Amino-4-Bromo benzotrifluorides.

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India's economic development can be measured through the growth in GDP, which can be influenced by various factors. This research study investigates the subtle relationships between Foreign Direct Investment (FDI), total exports, and their combined impact on a country's GDP. The study disentangles the direct and mediated influences of FDI and total exports on GDP using a comprehensive dataset and advanced econometric approaches, revealing the critical role of FDI in determining export performance and hence contributing to overall economic development. The empirical conclusion suggests that FDI and exports have a significant impact on the country's GDP; however, while FDI has no direct impact on the country's exports, it may have some indirect influence.

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Export, Foreign Direct Investment(FDI), Gross Doomestic Product (GDP)

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Kidnapping and abduction, defined as the illegal act of forcibly capturing or restraining a person against their will through deception, coercion, or physical force, are serious offenses subject to harsh penalties under legal jurisdictions worldwide. This study examines the prevalence, patterns, and motives behind kidnapping and abduction crimes in Tamil Nadu using data from the Tamil Nadu State Crime Records Bureau (2021). Employing a review approach with primary and secondary data sources, the study identifies trends in district-wise distribution and underlying motives. The findings reveal that Cuddalore recorded the highest incidence (83 cases), followed by Salem City (79) and Chennai (71). Predominant motives include coercion of women into marriage (506 cases), while the least frequent motive was kidnapping for begging (1 case). The study underscores the importance of addressing societal norms and power imbalances to reduce gender-based crimes and achieve sustainable development goals such as gender equality.

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Kidnapping, Abduction, Tamil Nadu State Crime Records Bureau, Sustainable Development Goals, Indian Penal Code

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Abstract: In recent years, schools have been urged to step up their efforts to provide more chances for children and adolescents to engage in physical activity. Schools have been found to be an important venue for the prevention of obesity. Higher education institutions are increasingly offering clinical programmed for homeschooled children in order to give them with high-quality opportunities for physical activity. Parents whose children attend public school, those who home school, and those whose children attend a home school physical education Programme at an institution of higher education were all surveyed in this study to gain an understanding of their views on the importance of physical education for children's development. Uttar Pradesh is having one of the largest systems of education in the India and abroad. It is quite interesting to identify the parent's aspirations and attitude related factors when it comes to choose the subject of choice in career of their kids or children. Originality: This study is unique in the sense that, it has been attempted to capture the cognitive components of the parents sending their children to study and practices the benefits of yoga, modern exercises and the subject of Physical education. Findings: In this descriptive research design, it is attempted to check the positive or negative aspirations and attitudinal setups of the parents of different types of educational system like primary level, middle level, higher secondary, secondary and higher study level. Key findings of the study can be utilized to frame the policies in strengthening the school curriculum in physical education subject. The course pedagogy may be reframed which fulfill the expectations of parents.

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Key Word: Attitude, Parents, Physical Education, Uttar Pradesh.

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This research primarily focuses on presentation of history of colonial exploitation and opium trade with the help of fictional form in one of the books of Amitav Ghosh"s "Ibis" trilogy i.e. Sea of Poppies. The plot of the novel is structured in such a coherent way that it aligns the events and the circumstances which natives and subalterns faced when the British arrived in India, making the novel a magnificent piece of historical fiction. Then there is a variety of characters, each unique in its own way and struggling to make its place in colonial rule in India and trying to find an identity away from home. Each character is significant and holds a historical importance in itself. The events and descriptions of the novel are historically symbolic. Even the places and geography takes readers to all the locations which have witnessed horrors of the tortures and torments of colonial legacy. Ghosh through abstractions, minute details, people and various situations, takes readers back to the beginning of nineteenth century, an important era which constructed a nation and suppressed another one. This research presents all the evidences from the text to prove it as a historical novel and its significance as compared to historical writings.

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Historical, Historiography, Colonial Rule, India & Opium.

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Shear layer instabilities play a critical role in the formation of vortices and the onset of turbulence, significantly impacting atmospheric and oceanic phenomena. Accurate forecasting of weather and prediction of tsunamis rely on understanding these instabilities. This research investigates the stability of a shear layer confined between two semi-infinite fluid layers. The shear layer exhibits a linear velocity profile, while the surrounding layers maintain uniform velocities. Utilizing the shallow water equations, we analyze the stability of the fluid interfaces. The resulting dispersion relation, relating wave frequency to other wave characteristics, involves Whittaker functions and their derivatives. By analyzing the appropriate limits of these functions, we gain insights into the stability behavior of the system. This study contributes to a deeper understanding of shear layer instabilities and their crucial implications for various natural processes.

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Shear Layer Instabilities,Turbulent , Vortices, Atmospheric Flows, Oceanic Flows, Weather Forecasting, Tsunami Prediction, Semi-infinite Layers, Shallow Water Equations, Whittaker Functions, Stability Analysis.

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Background: The intersection of artificial intelligence and data visualization opens new opportunities for automation, accessibility and enhanced user experience. Objectives: This study aims to leverage the capabilities of OpenAI, specifically its generative AI models, to create advanced and dynamic data plotting and visualization tools. Methodology: Video/Online Games related primary data will be taken from Steam (Steam is one of the most popular digital video game distribution platforms to buy and play videos games). Steam game related datasets will be taken from Kaggle (Kaggle is a platform for data science and machine learning professionals and offers public data sets) or through a API program. The data will be transformed to visualized representations using OpenAI to provide detailed insights into the games and the gaming market. Results: The project will result in a tool or proof of concept that combines OpenAI-driven insights with advanced data plotting and visualization techniques. This will enhance data exploration, making it more intuitive and interactive for users of all levels. Conclusion: By merging AI with data visualization, this project seeks to simplify complex data interpretation and enable deeper insights for users through intuitive, visually rich interfaces powered by OpenAI.

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OpenAI, Data Visualisation, Video Games, AI, ChatGPT

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this study examines the relationship between alcohol consumption and the risk of developing age-related macular degeneration (ARMD) based on hospital-based data. this is prospective study include all patients of age related macular degeneration above 50 years of age presenting in the department of ophthalmology at dr.rpgmc tanda. total 86 patients were examined. there were 29 (33.72%) patients who consumed alcohol while 41 (47.67%) patients were not consuming alcohol. statistical analysis chi-squre test was applied .finding indicated that excessive alcohol consumption significantly increases the risk of age related macular degeneration.

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Alcohol Consumption ,Age Related Macular Degeneration

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Effective communication in a globalized world is increasingly challenged by accent variations within the same language. Despite significant advancements in multilingual speech translation technologies, the specific domain of intra-language accent translation remains largely unexplored, creating barriers to understanding in critical contexts such as international business meetings, virtual classrooms, and customer service interactions. Existing systems primarily focus on translating speech between different languages and often overlook the nuanced differences that accents can introduce . This research addresses this critical gap by proposing a real-time accent translation system designed to enhance comprehension and communication efficiency across diverse accents within a single language. The proposed system consists of three core modules: Accent Detection and Classification, Accent Translation, and Speech Synthesis. Utilizing advanced machine learning techniques, particularly deep learning models for accurate accent detection and generative adversarial networks (GANs) for effective accent translation, the system preserves the original linguistic content while adapting phonetic features to align with the desired accent. The approach is data-driven, relying on diverse datasets that encompass various accents to ensure robust performance in real-world applications. Preliminary results indicate that the system achieves high accuracy in accent detection and maintains a latency of less than 200 milliseconds, making it suitable for real-time communication scenarios. By addressing the challenges posed by accent differences, this research not only contributes to the field of speech processing technology but also promotes inclusivity and understanding in global communication settings. The findings suggest that the proposed solution has significant implications for industries such as education, customer service, and international business, paving the way for more effective interactions in linguistically diverse environments. In conclusion, this research establishes a foundational framework for real-time accent translation, highlighting its potential to bridge communication gaps and enhance cross-cultural understanding in an increasingly interconnected world.

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Real-Time Translation, Speech Recognition, Multilingual Speech, Processing, Audio Signal Processing, Global Communication

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The modelling of an artificial intelligence (AI)-based enterprise callbot integrates Natural Language Processing (NLP) and Machine Learning (ML) algorithms to automate and enhance customer interactions. This system enables businesses to manage large volumes of customer inquiries efficiently by providing real-time, personalized responses. The callbot uses NLP to understand and interpret user input, enabling seamless conversation flow in multiple languages. Machine learning algorithms, including supervised and unsupervised models, improve the bot's response accuracy by learning from historical interactions and refining its decision-making processes. The AI-based callbot employs sentiment analysis to gauge the emotional tone of the caller and adaptive dialogue management to guide the conversation towards effective resolutions. Predictive analytics powered by ML helps identify customer needs, optimizing responses for various industries such as healthcare, finance, and retail. By automating routine tasks, the callbot reduces human intervention and operational costs while maintaining high levels of customer satisfaction. The proposed model focuses on integrating state-of-the-art NLP techniques, such as transformers and recurrent neural networks (RNNs), to enable dynamic conversation and contextual understanding. The system is designed to evolve with each interaction, offering an efficient, scalable, and customer-centric solution for enterprise communication.

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Natural Language Processing (NLP) and Machine Learning (ML), artificial intelligence (AI) and Deep Learning

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Artificial intelligence integrated with drones has created new opportunities for many industries, making processes automated, enhancing remote data capturing and decision making. UAV (Unmanned Aerial Vehicles) also known as drones was originally used for military and surveillance but now integrates technologies like agriculture, supply chain, emergency management and ecological sensing. The background on this research relates to the enhancement of capability of drones through machine learning and computer vision algorithms permitting them to work autonomously without much human input. The methods that have been discussed in this paper are CNN as an object detection technique, Reinforce Learning for efficient routes, and NLP for Voice Command Control Systems. Such technologies make it possible for the drones to discover features of the environment, identify objects and even interact better with the operators. Speaking of the outcomes, AI drones have shown a considerable advance in terms of effectiveness and precision during their operation. However, numerous industries such as precision agriculture involve the use of drones with AI in multispectral imaging to determine the state of crops to achieve better results from resource utilization. Likewise, in disaster management situations, exceptional agility is possible by using drones that have artificial intelligence for purposes of assessing the destruction, finding victims and delivering supplies. Such advancements support a view on how AI can improve the performance of drones in dynamic environments with related uncertainties. Nevertheless, some limitations still exist in some issues including the model regulation, ethical issues, and the structures for handling variability in actual usage of AI models. Copied from the main text The research therefore concludes that AI applications in drones are growing progressively, further development of these technologies is needed for improved breakthroughs. With superior technological enhancement, drones are expected to be more relevant to sectors that need precision, efficiency, and decentralization to function optimally while guaranteeing regulatory compliance and safety concerns will be the critical parameters that will drive the improvement of drones' functionality.

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Artificial Intelligence, Drones, Unmanned Aerial Vehicles, Machine Learning, Computer Vision, Autonomous Systems, Precision Agriculture, Disaster Management, Object Detection, Route Optimization, Reinforcement Learning, Natural Language Processing , Environmental Monitoring, Real-time Data Processing, Ethical Considerations in AI

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In our study problem Statement in title "A descriptive study to assess the knowledge regarding urinary tract infection during pregnancy among antenatal mother's and enhancing their knowledge by distributing informational leaflets in District Hospital Durg (C.G.)."In our study conceptual framework is based on maiman and Becker health belief model we conducted pilot study in Lal Bahadur Shastri Government Hospital Bhilai (C.G). on 12/01/2023 at afternoon time. The reliability of our study sample she were 6 in our pilot study. We use multiple choice questions to assess the knowledge among antenatal mothers regarding urinary tract infection. The objective of the study were to assess the knowledge regarding, urinary tract infection among antenatal mothers in District Hospital Durg (C.G.) We conduct main study on 21/02/2023 at morning time in Panduranga Ramarao Dongaonkar District Hospital Durg (C.G.) The sample size were 50 antenatal mothers. The study Revealed that 13 (26%) antenatal mothers had poor, 28 (56%) antenatal mothers had average, 9 (18%) antenatal mothers had Good knowledge regarding urinary tract infection Finding - The level of knowledge regarding urinary tract infection antenatal mothers 13 (26%) subject have a poor knowledge, 28 (56%) subject have average knowledge &9 (18%) subject have a Good knowledge regarding urinary tract infection. Summary - There will be significant association between knowledge and selected socio demographic variable regarding urinary tract infection during pregnancy among antenatal mothers as evidence from there knowledge score.

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pregnancy antenatal mother

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Abstract The attempt has been made in this paper to discuss the consumer behavior and traders travel pattern of periodic markets in Belgaum District of Karnataka is the main consideration in this investigation of Belgaum District as a study area. It is located in the north-western part of the Karnataka State and falls within the northern maidan region. It lies between 15023? to 16058? North latitude and 74005? to 75028? East longitude has geographical area of 13,415 square kilometers with population of 42,14,505 (as per 2001) The spatial movement of consumers and traders and their behavior has been examined on the basis of the functions of 181 periodic markets have been observed in the study area. The importance of markets tended to get reflection in the number of settlements and people, served by each one of the periodic markets. It is also seen that the majority of the settlements in the study area were in the service area of more than one periodic market during the market week. In addition, socio-cultural factors and religious attitude also influence the behaviour of people. Therefore, the behaviour pattern has been analysed mainly in the context of movement and through the proper means of communication used by the consumers.

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Keywords : Consumer Behavior, Traders Travel pattern and Spatial Pattern.

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In the semiotic analysis of Jallikattu the Malayalam film Jallikattu (2019) Lijo Jose Pellissery conducts a study using Saussure's semiotic theory. The research, which uses a descriptive qualitative approach, deals among others with the signs, symbols, and codes inscribed in the film, and such elements as they convey meaning and critique human behavior. The findings point out that Jallikattu resorts to the interplay of visual and auditory elements to break up the main ideas of primal instincts, the mob mentality, and the human-animal dichotomy. The research emphasizes the film's cultural and philosophical value, and thus, it is regarded as a contemporary cinematic masterpiece.

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Jallikattu, semiotic analysis, mob mentality, Malayalam cinema, visual symbols, auditory signs,

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Six sigma and lean have emerged as de facto standards for sectors and start-ups alike as a means of enhancing production and exponentially increasing the amount of consumer input received. Both of these methods are founded on the fundamental idea of enhancing processes while simultaneously cutting down on chrome-like components that do not provide anything of value to the end result. Because of this, the development of the finished product takes less time, the product itself is of higher quality, and it costs less money; all of these characteristics make it easier for customers to utilize the product, which in turn leads to increased levels of customer satisfaction. But since these methods may be used to such a wide range of procedures, it can be difficult for academics to determine which tactic is more effective in specific kinds of business settings. As a result of this, a comprehensive research, analysis, and comparison of the six sigma and lean approaches have been carried out in this work. Both researchers and system deployment engineers will find this information helpful when selecting the best practices that are commercially feasible for the underlying industry or start-up. In addition to that, the author of this article suggests a few other avenues of development that may be pursued in order to further increase the effectiveness of these strategies while they are being deployed in real time.

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Six sigma, chrome-like components, system deployment engineers, start-up.

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This research article investigates the capacity of rural tourism to mitigate migration in Uttarakhand, specifically focusing on the Chamoli district of the Garhwal region. The paper uses secondary data sources, e.g., policy papers, census data, Palayan Aayog reports, and other data sources for reference. Covid-19 The pandemic was a turning point for villagers to return to their native village, which changed the rural community at large. It explores government policies, community-led initiatives, and the socio-economic impacts of tourism-driven livelihoods. During Covid-19 we saw migrants establishing livelihood sources for themselves and for others in the village itself. By analyzing successful case studies and identifying systemic obstacles in this approach, the paper provides strategies for integrating tourism with environmental conservation, cultural preservation, and economic development. The study positions rural tourism as a cornerstone for the revitalization of Uttarakhand's rural communities.

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Tourism, livelihood, migration, Covid-19, reverse migration

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Artificial intelligence (AI) and neuroscience have a long and intertwined history. notwithstanding cooperation and communicating betwixt the ii fields bear go inferior green inch new age. In this piece we explore how developing a deeper comprehension of biological brains may be essential to creating Smart machines. notwithstanding we Check however by exchanges betwixt the domain s of artificial intelligence and neuroscience bear highlighted the new developments inch artificial intelligence that bear been driven away search along nervous reckoning inch man and different animals. We wrap up by pointing out themes that have been essential to furthering both fields' future research. Mechanization Tech has advanced very importantly over the past few decades and now systematizes a variety of tasks that previously required human physical and mental capabilities. notwithstanding thither are notwithstanding amp set of important effect areas that our show devices and Calculaters are impotent to work. Uses involving "real-world" perception situation assessment and decision-making tasks are a few notable examples. inch rate to rise these world problems researchers bear new planned exploitation "brain-like ersatz intelligence" concepts which are ideas founded along the principles of however the man or sensual head Roles. The potential of brain-like artificial intelligence for creative Mechanization Answers is covered in this article which also examines several strategies Maked in collaboration with the Vienna University of Vienna's ICT intellectual Mechanization group. Numerous studies conducted in recent years have shed light on how the brain which is made up of neurons that form Webs through synaptic connections Roles. ersatz nervous Webs (anns) and natural nervous Webs (interconnected face cells) are the ii principal types of nervous Webs which are successful leading of Combined systems of neurons. ANNs are utilized in Representation Nerve-related systems and are computationally influenced by human neurons. inch checkup fields care electronic noses form credit discrepancy espial and natural unit Representation the Smart underpinnings of ersatz nervous Webs bear established good. Instead of focusing on Tech the Structure of the human brain is being studied to Representation systems through advanced artificial intelligence research.

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ANN (Artificial Neural Networks) AI (Artificial Intelligence), Brain-work as artificial intelligence, automation of cognitive, machine observation

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One-Stop Solution Focusing on Tourism is a web-based platform designed to make travel easier and more enjoyable for users by providing a centralized hub for tourists and service providers. The main goal of this project is to create a single system where users can discover travel services, give feedback, and manage their travel plans efficiently. Built using the Django framework, the platform aims to offer a secure, scalable, and user-friendly experience to meet various user needs. The platform features several important sections. The "About Us" section explains the platform's vision and mission, helping to build trust with users. The "Services" module highlights a variety of offerings, including destination guides, tour packages, and other travel-related services tailored to user preferences. A Feedback System allows users to share their experiences and suggestions for improvement, with back-end support to store and analyse this data. To ensure secure and personalized access, a Login and Registration module is also included. In conclusion, integrating essential tourism services into one platform improves the overall user experience by simplifying travel planning and increasing convenience. This project has significant implications, as it connects tourists with service providers, creating a more efficient and accessible system for the tourism industry. By utilizing Django's features, the platform ensures strong performance and scalability, making it a reliable tool for today's travellers.

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Travel planning, Tourism platform, Personalized Accounts, Django Framework,Integrated Services.

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