Volume 12 | Issue 3

 Abstract

The global economy has undergone significant upheaval because of globalization, which has also presented several opportunities for businesses and industries. Today's restaurant sector is a heterogeneous blend of different management styles and ownership patterns that provide a range of services. The fundamental product, which is still food and drink, does not change, though. The Indian restaurant business has a bright future because of the rise of weekend culture in metro areas, the rise in the standard of life of individuals in the service class, and the emergence of mall and retail culture. Before selecting a restaurant, patrons typically take several aspects into account. These variables include, but are not limited to, brand name, variety of food offered, flavor, cleanliness, location, charge, payment method, loyalty, and complimentary gifts.

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Keywords: Restaurants, Standard of living, loyalty, retail culture.

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The United Nations Millennium Summit established the eight universal improvement goals for 2015, known as the Millennium Development Goals (MDGs), including the promotion of gender equality and women's empowerment as the third goal. These goals are still far from being recognized in a country like India. In actuality, women in India routinely lack access to their basic rights, such as the right to dignity, let alone the issue of gender parity. Empowering women is one of the most critical issues of the twenty-first century. Practically speaking, though, women's empowerment remains a fantasy; we witness daily how a variety of social ills oppress women. A key instrument for increasing women's capacity to have resources and make thoughtful, calculated decisions in life is women's empowerment. Women's empowerment is particularly important when women, traditionally marginalized in society, are working to improve their social and political standing. The first step in protecting kids against all forms of violence and viciousness is empowerment. The secondary resources serve as the study's foundation. According to the survey, Indian women have a considerably lower status than men and are comparatively less zealous, regardless of the government's multiple efforts. It is found that women continue to acknowledge the existence of unfair gender norms in society. The study concludes with the belief that women's empowerment is primarily influenced by changes in social structure, employment opportunities, and access to education. In light of this, the current paper examines the judiciary's role in defending women's rights in India. It specifically focuses on the Supreme Court's role in interpreting international instruments for women's empowerment, the Court's role in protecting crime victims, and the problems and obstacles associated with women's empowerment. The article makes an effort to address the few issues that Indian women experience, such as female feticide, being denied inheritance rights, having to pay a dowry, selling and trafficking in females, etc. This paper aims to advance the methods of empowering women in a manner consistent with that of males.

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Crime against Women, Women Empowerment, Socio-economic status, Challenges

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In an era that is increasingly popular across academic discipline boundaries and interdisciplinary approaches, the concept of multidisciplinary education is emerging as a changing paradigm for developing a holistic learning experience. This article discusses the theoretical foundations, practical applications, and potential implications of multidisciplinary education. By reviewing various case studies and pedagogical frameworks, it explains the role of multi-curricular approaches in fostering critical thinking, creativity, and interdisciplinary collaboration among students. By synthesizing insights from education, psychology, and organizational research, this paper contributes to a deeper understanding of the dynamics and outcomes of multidisciplinary education in contemporary learning environments.

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Keywords: Multidisciplinary education, Interdisciplinary approaches, Holistic learning, Critical thinking, Collaboration

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The study revolves around understanding the financial distress experienced by Jet Airways.This study aims to investigate the factors that contributed to their financial difficulties, the consequences for stakeholders, and potential avenues for recovery. By examining these specific cases, the study seeks to provide insights into the challenges faced by airlines in a competitive industry and identify the key factors that lead to financial distress. Such insights are crucial for developing effective risk management strategies and offering valuable lessons to stakeholders, policymakers, and industry participants in order to mitigate future financial crises. The study's findings will contribute to the body of knowledge on airline financial distress and aid in the development of strategies for the survival and sustainability of airlines in the face of similar challenges.

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Financial Distress, Airlines, jet airways, financial ratios, financial distress models

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The Study Assistant is a novel technological solution designed to ad- dress the common issue of student distraction during study sessions. This study provides an extensive analysis of the development, functionality, and potential impact of the Study Assistant on student motivation and productivity. The Study Assistant leverages facial and eye detection al- girths to monitor students' behavior during study sessions. By accurately identifying instances of closed eyes or signs of disengagement, the system promptly issues alerts and reminders, facilitating the maintenance of focus. Additionally, the assistant incorporates reminders for sedentary breaks and hydration, fostering healthy study habits and mitigating the effects of fatigue. This research paper presents a comprehensive examination of the seamless integration of the Study Assistant prototype, utilizing Raspberry Pi and an array of hardware components. It delves into the implementation of facial and eye detection algorithms and provides a detailed discussion on the recording of study session durations, enabling effective tracking of progress toward predefined goals. The Study Assistant holds considerable potential for enhancing student engagement, minimizing dis- tractions, and promoting optimal study habits. By offering an innovative and supportive solution, this research contributes significantly to the field of educational technology.

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Student Motivation, Facial detection and eye detection, Raspberry Pi, minimizing distractions

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India has been using Ayurveda for health purposes since the time of the Vedic era. It is still one of the most antiquated medical science systems in use today. Given that Ayurvedic medicine uses a large number of medicinal plants, it is crucial to correctly identify the plants that are utilized to make medication. Typically, knowledgeable professionals with advanced training in this sector identify the suitable medicinal plants. From generation to generation, people are passing along their expertise of how to identify these therapeutic herbs. Nonetheless, there is potential for mistakes or poor judgment because the identification is entirely dependent on human perception. The drug becomes useless when the raw components are incorrect or replaced. It may possibly have some adverse consequences.This calls for the development of an effective technique that can correctly identify the Ayurvedic plant from leaf samples. Shape, color, and leaf texture are the primary characteristics that are needed to identify a medicinal plant. Vital characteristics like leaf color and texture can be used to determine the exact species to which a given plant belongs. This will ultimately increase the medication's efficiency. The goal of this research is to develop an intelligent system that, using the input leaf sample as a basis, can identify the species of plant. This study investigates a green leaf's feature vectors in order to derive a special set of feature parameters that optimize identification accuracy. This distinct feature collection serves as the basis for classifying the leaf samples.

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 Keywords

CNN, ANN, Data Augmentation

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21st century is the century of 'science and technology'. The modern technology, a boon for every sector, can be realized in education also. Technology greatly helps individual on the path of academic integration. Academic integration is tied with the status and personal characteristics of an individual that contributes towards an ethical and moral system of the concerned institution. It includes values and norms in each and every academic work which leads to proper functioning of academic institute with ethics and principle which ultimately leads to excellence. The concept of academic integration, evolved from its traditional view of character development, is more a social perspective now. Along with the advancement of science and technology, people are exposed to global world where technology plays an important role in social networking. This paper deals with the influence of science and technology in maintaining academic integration. It focuses on the two fold influence of technology on the educational system and how it ultimately impacts upon academic integrity. The two fold influence includes the factors that foster academic integrity and the factor in the contrary which creates academic dishonesty leads to deterioration of academic integrity. In former case, Technology fosters academic integrity with its wider scope for learning. For instance, information and communication technology provides a large forum in many websites for open discussion to people all over the world who can participate in the forum and put forth their views. In other way, in academic institution, the data base of the information related to all concerned accelerates the academic process in terms of easy access, perseverance and utilization of all information's. In classroom learning, ICT has greater impact in building student's social skills and coherence among the peers and other members of the society through synchronous e- learning where they can avoid the feeling of isolation. In asynchronous learning students can be able to follow the curriculum at their own pace. Ideally effective e-learning, includes synchronous and asynchronous learning, develops honesty, disciplines throughout its procedure. In other way, a proper evaluation can be possible through technology like use of CCTV camera, online assessment etc. Technology also, in other way, if not managed and maintained properly leads to academic dishonesty like plagiarism occurs very easily through the use of technology. As a result less innovation we have in research at present. In asynchronous e-learning also, students have the scope of dishonesty which affects reliability of the test itself as well as of the test result. In spite of having some demerits in use of technology, it's contribution in today's world in maintaining academic integrity is inevitable in terms of developing honesty, disciplines, norms, values and most importantly in developing a perfect system with accuracy, correctness, preciseness, ease of accessibility and maintaining quality which is really can be considered as a boon for academic integrity.

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Academic integrity, Synchronous e- learning, Asynchronous e-learning, Plagiarism, Academic dishonesty.

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This study aims to develop a robust stock market prediction model using a stacked Long Short-Term Memory (LSTM) network. The proposed model leverages historical stock prices and financial indicators to forecast future price movements. We compare its performance with existing prediction methods to demonstrate its effectiveness. The results indicate that the stacked LSTM outperforms traditional approaches, yielding higher prediction accuracy. This research contributes to the field of financial forecasting and provides valuable insights for investors and financial analysts seeking improved decision-making tools.

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Machine Learning, Stock Market Prediction, LSTM (Long Short Term Memory), NN (Neural Networks)

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Due to their small size, smartphones offer a convenient way to handle emails, internet access, and mobile calls all in one package. The purpose of this study is to gather data regarding consumer perceptions of Chinese's smartphone brand and the variables influencing their purchasing decisions. The data collected was based on the primary data through structured questionnaire collected from 100 respondents and simple random sampling technique was used to select a sample of representative customers. It is advised that the corporation release a smarter phone with standard quality for the lower classes, as this will enable them to reach a larger consumer base given the enormous number of people in these classes in the nation.

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Chinese's smartphone, Brand, Users.

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The primary goal of any drug delivery system is to administer the medication within a predetermined timeframe and to ensure that a therapeutic dose reaches the intended site of action. Mucoadhesive drug delivery represents a significant advancement in drug delivery systems. These dosage forms are designed to extend the duration of drug contact with mucosal surfaces, leading to benefits such as prolonged residence time, rapid onset of action, enhanced bioavailability, avoidance of hepatic first-pass metabolism, and controlled drug release rates. Mucoadhesive drug delivery can be employed through various routes including buccal, oral, nasal, ocular, gastrointestinal, vaginal, and rectal routes. In this system, the drug adheres to the mucosal epithelial surface upon contact with the mucous layer, facilitated by interfacial forces. Mucoadhesion refers to the mechanism by which two materials are bound together for a specific duration via attractive forces between biological materials and mucous membranes. This review article comprehensively discusses mucoadhesion, encompassing various theories, mechanisms, factors influencing, evaluations, and different forms of mucoadhesive dosage.

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Mucoadhesive, Oral Mucosa, Bioadhesive. Factors and Evaluations

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The project aims to provide and learning about the various types of steganography available. Image steganography is performed for images and the concerning data is also decrypted to retrieve the message image. Since this can be done in several ways, image steganography is studied and one of the methods is used to demonstrate it.

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mage steganography refers to hiding information i.e. text, images or audio files in another image or video files. The current project aims to use steganography for an image with another image using spatial domain techniqu

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Women's empowerment is a prerequisite for the development of a society because it increases both the quality and quantity of human resources available for development. It is primarily one of the procedural concerns while addressing human rights and development. Women empowerment and achieving gender equality is essential for our society to ensure sustainable development of the country. The status of women in India has been subject to many great changes over the past few millennia. From equal status with men in ancient times, through the low points of the medieval period, to the promotion of equal rights by many reformers. It would be a fraud to think about the goals of sustainable development and gender equality without raising the social status of women. Mahatma Gandhi expressed his views on many issues related to Indian society in particular and humanity in general. He worked not only for the independence of the country but also for the liberation of all the oppressed and lower classes in Indian society and the upliftment of women. According to Mahatma Gandhi, empowerment means giving equal status to women and providing those equal opportunities and freedom to develop. Gandhi had said that "The goal of women empowerment depends on the threefold revaluation. First of all, bring a change in their lives. Secondly, create a change in their lives. Thirdly, change their social structure". The history of women in India has been eventful. In modern India, women have held various high positions including President, Prime Minister, Speaker of the Lok Sabha, Leader of the Opposition, etc. The current President of India is also a woman. In fact, the credit for all this goes to Mahatma Gandhi. It is said that she was the first to include women in the political movement in India. As a mass communicator, he reached and influenced more people than any other leader. Mahatma Gandhi's criticism of social evils, his persistent efforts for the emancipation of women and his immense faith in the moral strength of women led to the national struggle for independence. Gandhi was of the opinion that until and unless women, on the basis of education and knowledge do not find their proper place in social and economic fields, they could not achieve self- respect for themselves. Nor they could become self- dependent in any of the walks of life. In the presented study, an attempt has been made to understand Gandhi's views on women in the context of socio-economic and political fields. The objectives of the present study are to find out what role Gandhi played in the empowerment of women.

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Women Empowerment, Gender Equality, Humanity. Satyagraha, Social Equity, Woman's Rights, Social Injustice.

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This paper presents a method for decoding audience interaction in public speeches using advanced signal processing techniques implemented in MATLAB. By analyzing audience responses such as speech, applause, and laughter in real-time based on spectral and temporal features, the system provides immediate feedback to speakers. Through simultaneous recording of the speaker and audience, nuanced delivery and reactions are captured, enhancing analysis. The process involves noise removal and foreground extraction to isolate significant audience reactions. Thresholding methods identify key responses like applause and laughter, aiding speakers in targeted improvements. The study contributes to refining communication accuracy and event management, benefiting both speakers and researchers in communication disciplines.

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Public Speaking, Machine Learning, Signal Processing, Quality-Aware Techniques, Audience Interaction.

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This paper explores the design, development, and implementation of an innovative Student Attendance App aimed at revolutionizing traditional attendance tracking methods in educational institutions. The app leverages modern technologies such as biometric recognition and QR code scanning to automate and streamline the attendance management process. Key features include real-time monitoring, user-friendly interfaces, and robust security measures. Through a thorough examination of the app's advantages, challenges, and future enhancements, this paper sheds light on its potential to enhance efficiency, accuracy, and communication within educational environments. The findings underscore the significance of embracing technological solutions to address longstanding challenges in attendance tracking, paving the way for a more transparent and connected educational experience.

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Flutter: The framework you're using to develop the mobile app. Student Attendance: The primary purpose of your app. QR Code: If you plan to use QR codes for attendance tracking. Firebase: If you're using Firebase for real-time data synchronization and storage. Authentication: Implementing a secure login system for students and teachers. Geolocation: If you want to track attendance based on the physical location. Push Notifications: To send reminders or alerts about attendance. D

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Abstract Micro and small enterprises have unswervingly had a substantial influence on employment growth and have been an important source of foreign income for the country. It is not only subsidiary to urban workers but also provides livelihoods for people from all walks of life in rural areas. The micro and small industry is the one that engenders the most revenue, but the reason because of the pandemic, the numbers are adverse. Among all the means MSMEs are one of the important resources that the Government has, it is therefore important to understand how the epidemic has affected this sector. Darjeeling, which is popularly known as an important hill tourist spot and extraction of tourists is chosen for the study. The primary data which is the main data source of the study were collected using a structured questionnaire provided to the entrepreneurs, owners and managers of the respective MSEs spread over the Darjeeling district. Secondary data are also collected from the MSME department, Government of West Bengal. Analysis has been made to find out the effect of Covid-19 on micro and small enterprises. SPSS helps to analyze the regression model to verify the level of significance among dependent and independent variables and to determine the factors that impacted its daily existence after the pandemic. The study finds that even after the relaxation of the lockdown this sector, particularly micro industry and self-employed businesses suffered a lot. The study finds that the mainstream of the micro and small units was closed during the COVID-19 era due to financial and various other issues. Even after post-pandemic, many micro and small units are closed and are still hoping to reopen their respective units. More awareness is required for entrepreneurs, particularly from rural and backward areas regarding the benefits and scope of MSME, and State Govt. should take initiatives to shield the revolting Micro and Small Enterprises within the region.

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Keywords: industrialization, education, crisis, pandemic, rural economy, MSME

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The alcohol detection and engine locking system, utilizing an Arduino Uno microcontroller and MQ-3 alcohol sensor, enhances road safety by preventing drunk driving incidents. It detects alcohol in a driver's breath, interfacing with the Arduino Mega to process readings and determine intoxication levels through calibration. Upon surpassing a predefined threshold, the system triggers an engine lock via a solenoid controlled by a relay module, immobilizing the vehicle. A user interface provides real-time feedback, while an override mechanism allows authorized users to temporarily disable the system. Efficient power management and seamless integration into existing vehicle systems are crucial for implementation. By combining accurate detection with an engine lock, this system promotes responsible driving, reduces risks, and creates safer road environments.

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Arduino Uno, Alcohol detection, Safety measure

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This study attention on to examine the AIF that are active in India and to ascertain the guidelines and policies governing Alternative Investment Funds. The study made use of secondary data. Information was gathered from the official sebi.gov.in website. SEBI-published quartile basis report from September, 2012 to December, 2023 has been used in this study. Descriptive statistics and graphical presentations have both been used in this study to interpret the data. This study found that AIF divides into three categories within Social venture funds, SME funds, Infrastructure funds, angel funds, venture capital funds, Fund of Funds, Debt Funds, Private Equity Funds, Hedge funds and PIPE and the SEBI (AIF) Regulations, 2012 and amendment 2023 of the SEBI provide guidance to AIF investors for seamless operations in India.

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Alternative Investment Funds, SEBI, Hedge Funds, Private Equity Funds, Fund of Funds.

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Tourism plays a major role in a country's economy. But there is still a lack of a platform that provides personalized information regarding tourist attractions. If there exists a system that can provide personalized accurate information to tourists about local attractions, food, and shopping it will be a huge benefit for tourists. In this project, we are proposing a hybrid approach of recommended systems to recommend tourist attractions for users. This recommendation process involves a combination of both content and collaborative filtering approach. This Hybrid approach avoids the disadvantages in both the methods and provides users with accurate information. To calculate the similarity between items the cosine similarity method is adopted. We have applied a model-based collaborative filtering approach called SVD for better results. The weighted hybridization approach is used to combine the results of both methods. The data of tourist attractions and users have been collected for implementation. This approach has given better results compared to CB and CF filtering methods separately.

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Algorithms, Artificial Intelligence, Machine Learning, Personalized Travel, Recommendations, Travel

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This paper presents an innovative solution for Monitoring Cardiac disease using Thingspeak App ,Artificial Intelligence and advanced sensors. Users can easily check their ECG readings,Heart Beat and Temparature by staying home.Detecting cardiac diseases early and providing ongoing monitoring by clinicians has the potential to decrease mortality rates. Nevertheless, achieving precise detection of heart conditions in every instance and providing round-the-clock consultation by a physician is impractical due to the additional intelligence, time, and expertise required. An alternative strategy involves gathering data from IoT devices and electronic medical records linked to patient histories, which are then transmitted to predictive analytics platforms stored in the cloud.

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Electrocardiagram(ECG),Remote monitoring,Heartrate,Bloodpressure,EDAsensor, DHT11sensor, Health telemetry

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The literature that represents the life of the Sangam Tamils to us is the Patthuppattu and the Ettuththokai. These eighteen literatures also give us a glimpse of the life-related characteristics of the Sangam Tamils. Tolkappiyam is the first and most complete grammar book available to us. In this Tolkapiya, we can see the war-based norms of the Sangam Tamils in exogamy. In this, Tolkappiyar has laid down seven types of war ethics namely Vetchi, Karanthai, Vanchi, Kanchi, Uzhinai, Thumbai and Vaagai. These rules of war are called dinai. Each flower has been created as a symbol of this dinai. This mountain itself will become the symbol of this chapter. The purpose of this article is to record the arrival pattern of these flowers, which are the symbols of these seven dinai pointed out by Tolkappiyar, in Sangam literature.

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Vetchi, Karanthai, Vanji, Kanji, Uzhinai, Thumbai, Vaagai, Tolkappiyam, Sangam Literature, flower, War

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