Volume 12 | Issue 5

 Abstract

Cloud data de-duplication means finding and removing duplicate copies of data in the cloud, which helps save space and makes the system work faster. However, some existing methods of de-duplication don't check if the data stored by the cloud service provider (CSP) is correct. So, this paper suggests a way to make sure that the data stored in the cloud is both de-duplicated and verified for accuracy. The suggested method includes checking the integrity (making sure the data hasn't been tampered with) of encrypted data stored in the cloud. This paper proposes a data integrity verification scheme of de-duplication for cloud cipher texts, including cloud cipher text de-duplication and cloud data integrity verification

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 Keywords

Data Duplication identification, hash algorithm, encryption, data integrity

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In recent years, human-computer interaction has advanced significantly, particularly with gesture control and voice automation technologies. This paper proposes a system integrating gesture control for virtual mouse manipulation and voice commands for automation tasks, enhancing user experience and productivity. Using computer vision techniques like hand tracking and gesture recognition, gesture control interprets hand movements as mouse actions, enabling contactless interaction with digital interfaces. Simultaneously, voice recognition and natural language processing (NLP) are employed to execute user commands, reducing reliance on manual input and making interactions seamless and efficient. The system includes a browser-based interface for managing and customizing gestures, with a database that allows users to store and manage their gestures. Upon executing the Python application, users can log in to access a dedicated page to view, add, or delete gestures, providing flexibility to tailor interaction methods to specific needs. This integration of gesture control and voice automation enhances accessibility for individuals with disabilities or limitations in traditional input methods. This innovative approach demonstrates the potential for multimodal input modalities to improve usability and efficiency in diverse computing environments, paving the way for more user-centric technology solutions.

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 Keywords

Computer vision, Media Pipe, Real-time gesture recognition, Graphical User Interface, Hand Tracking.

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 Abstract

This paper explores the efficacy of utilizing a pre-trained ResNet34 model for agricultural disease identification via image recognition. With a focus on a prevalent vegetable, the study seeks to raise farmers' awareness of innovative technologies to combat plant diseases. Employing a machine learning and image processing approach, an accurate algorithm is proposed for detecting leaf diseases in vegetables and plants. The investigation centers on samples of plant leaves exhibiting disorders, aiming to assist farmers in early disease detection. Leveraging the widespread availability of smartphones and advancements in computer vision, particularly convolutional neural networks (CNNs), the research aims to address the persistent threat of plant diseases to smallholder farmers' livelihoods and food security. The developed model demonstrates the ability to distinguish between healthy leaf tissue and seven distinct plant illnesses. Deployed as a user-friendly web application, the model ensures accessibility for farmers. Training and validation utilize a meticulously curated dataset of leaf images captured under controlled conditions. The proposed methodology achieves impressive results, with an accuracy rate of 97.2% and an F1 score exceeding 96.5% based on rigorous validation procedures. Amid rapid population growth, agriculture plays a critical role in sustaining human life. Early disease prediction is essential for food security, yet remains challenging. This paper aims to equip farmers with knowledge of cutting-edge technologies to mitigate plant diseases, particularly focusing on a widely available vegetable. Through the proposed machine learning and image processing approach, coupled with advanced algorithms, farmers can enhance disease detection in vegetables and plants, thereby safeguarding agricultural yields and ensuring food security.

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 Keywords

CNN, Deep Learning, ResNet, Transfer Learning, Classification, Plant Disease Detection

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 Abstract

In the pace of digital era, humans are more dependent on electronic gadgets specially on mobile phones. This leads to decrease human interactions and also it makes humans as introvert. [1]sPeople will be less likely to share their emotions and issues with other individuals, which might lead to depression and issues with the physical activity. A proper monitoring and personalized care of mental and physical activity is very essential to lead a healthy life. This paper presents "Companion App" a health tracker designed using Flutter and Firebase[4], offering an appropriate solution for individuals aiming to maintain and improve their health metrics and also the architecture, development process, and key functionalities of the app, showcasing its potential to revolutionize personal health management through technology. The app utilizes Flutter's cross-platform capabilities to deliver a seamless and responsive user experience on both iOS and Android devices. Firebase integration ensures security, real-time data synchronization and storage, enhancing the app's reliability and performance. This app enables users to track various health parameters like appetite, sleep patterns, heart rate, and dietary habits. It incorporates advanced features such as push notifications for medication reminders, goal-setting for fitness targets, and analytics to visualize progress over time. The app also supports integration with wearable devices, providing a holistic view of the user's health data. The development process emphasizes user-centric design, ensuring the app is easy to navigate. Additionally, the use of Firebase's machine learning capabilities offers personalized insights and recommendations, tailoring the user experience to individual health needs.

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 Keywords

Flutter, Firebase, Ios, Android, Real-time data synchronization, Reliability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Phishing is a new word produced from 'fishing', it refers to the act that the attackers allure users to visit a faked Web sites. It is a new type of network attack; the attacker copies the content from the website of a well-known company or a bank and creates a phishing website. The attacker keeps a visual similarity of the phishing website similar to the corresponding legitimate website to attract more users. The phishers must duplicate the content of the target site and they must use tools to (automatically) download the Web pages from the target site. This project helps the user to detect and identify the phishing websites. This project uses the web crawler to crawl the hyperlinks in the website. The website does not contain any hyperlinks, and then the website will move to the black list. Those sites are fake and the user does not wish to access. In this proposed web crawler can verify the user's inputted URL. If the result is phished, then it warns the user to block the website by adding it to a black list. The user can scan the website, if it is a phishing site, then it will give an alert message to prevent the user.

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 Keywords

DETECTION AND PREVENTION OF PHISHING

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This research paper explores the significant impact of Artificial Intelligence (AI) on the tourism sector, particularly in enhancing customer experience management. With the proliferation of digital technologies, tourism businesses are increasingly adopting AI-powered solutions to streamline operations, personalize services, and optimize the overall customer journey. This paper reviews existing literature and case studies to analyze the various applications of AI in the tourism industry, including chat bots for customer support, recommendation systems for personalized travel suggestions, predictive analytics for demand forecasting, and virtual assistants for itinerary planning. Additionally, the paper discusses the challenges and opportunities associated with AI adoption in the tourism sector and provides insights into future trends and potential research directions.

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 Keywords

Artificial Intelligence, Tourism Sector, Customer Experience Management, Personalization, Chat bots, Recommendation Systems, Predictive Analytics, Virtual Assistants.

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 Abstract

Education systems around the world are under increasing pressure to use innovative methodologies and integrate new information ICT in teaching learning processes.

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Communication technology teacher training programme

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This study aims to investigate customer satisfaction towards Honda bikes in the Indian market. A survey was conducted among Honda bike owners across different age groups and genders, using a structured questionnaire. The study collected data on various factors such as product quality, after-sales service, brand image, and overall satisfaction levels. The results indicated that Honda bikes are highly rated for their product quality and after-sales service. However, some customers expressed concerns regarding the high maintenance costs and poor resale value. Overall, the study suggests that Honda bikes are generally well-received by customers, but there is room for improvement in certain areas. The findings of this study may be useful for Honda in devising strategies to improve customer satisfaction and gain a competitive edge in the Indian two-wheeler market.

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Marketing, Product quality, Sales service, Brand image, customer service.

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Abstract The Indian government has supported micro business start-ups for women entrepreneurs in the country and has implemented various programs and initiatives to promote women entrepreneurship and innovation. The government's support has been instrumental in helping start-ups grow and scale up their businesses. The government's initiatives have helped to create a conducive environment for the micro business start-ups to flourish in the country. The government's support has helped micro business start-ups of women entrepreneurs to access capital, mentorship, and other resources. The government's programs have also helped create awareness about start-ups and entrepreneurship. The government's support has been crucial in helping start-ups grow and scale up their businesses. This study is based on primary data. The convenient sampling technique was adopted for collecting data from respondents. The primary data were obtained from the women entrepreneurs engaged in micro business start-ups through interview. Percentage analysis was used to complete the analysis of collected data. The objectives of the study are: 1.to study the performance of the micro business start-ups of women entrepreneurs 2.to study identify the problems faced by the women entrepreneurs in micro start-ups. 3.to give suitable suggestions based on the outcome of the findings.

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Key words: Micro Business, Start- Ups and Women Entrepreneurs.

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This research endeavors to scrutinize the depiction of communicative competence within English language textbooks utilized in the educational spheres of India and Oman. Adopting a comparative analytical approach, the study delves into the integration and implications of communicative competence in English Language Teaching (ELT) across these two diverse geopolitical landscapes. Communicative competence, a pivotal concept within ELT, plays a critical role in enhancing learners' abilities to function adeptly across a multitude of sociolinguistic environments. This investigation seeks to elucidate how textbooks from India and Oman navigate the intricate interplay of communicative competence within their unique sociocultural milieus, thereby contributing to an understanding of its application and relevance in enhancing language proficiency in non-native English-speaking settings.

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Communicative Competence, English, Textbooks, India, Oman

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 Abstract

The traditional 'hard-soft' education format, emphasizing theory-based hard skills, is becoming obsolete under the new paradigm of 'Soft-hard' skills combination. The Skill India initiative and the New Education Policy have led to a paradigm shift in India's education system, prioritizing soft skills like data fluency, communication, teamwork, and analytical skills over bookish hard skills. However, the contemporary syllabus completion drive in schools and colleges continues to focus on theoretical knowledge, neglecting practical skills. This paper argues that rural colleges must exhibit academic entrepreneurship to address skill deficits, plug the gaps, and strike a balance between soft and hard skills in content delivery. This paper explores the challenges faced by rural colleges in addressing skill deficits and proposes strategies for academic entrepreneurship, including need-based program development, industry-academia collaboration, and faculty empowerment. It highlights the importance of rural colleges in addressing the country's skill deficits and promoting employability among graduates. The paper concludes by emphasizing the need for a balanced approach to education, combining soft and hard skills to prepare students for the modern workforce.

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Academic Entrepreneurship, Rural Colleges, Skill Deficits, Soft Skills, Hard Skills, New Education Policy, Employability, Skill India, Liberal Collegiate Education, Higher Education, Curriculum Development.

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By combining graphic design concepts with card deck design, effective tools for creativity, problem resolution, and visual communication are produced. Thanks to their flexible yet structured methods, card decks which are used because they are tactile and engaging--help to break through creative obstacles and promote invention. A successful card deck design considers the intended user base, prioritizes usability in a range of contexts, and ensures aesthetic appeal through coordinating color schemes and typography. In contrast, graphic design adheres to a methodical process that includes steps like developing a creative brief, gathering information, wireframing, producing a comprehensive design, and receiving feedback iteratively. The design process is guided by fundamental principles such as hierarchy, balance, contrast, alignment, closeness, and contrast to produce visually appealing and useful outcomes.

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Asrtificial Inteligence, Mid Journey, Graphics, Card Deck

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 Abstract

: In early days if we users wanted to buy a furniture objects without visiting the shops it was possible but it was not possible to check how the object actually looks in home structure. Now in our proposed system, it is possible for user to buy the furniture objects sitting in the home without visiting the shops. The main purpose of the "Furniture Layout Application Using Augmented Reality" is to develop an android application for trying different furniture in virtual way using a mobile which supports AR camera. The application will eliminate the human efforts by physically visiting the furniture store which is very time-consuming activity. Besides, this it might be easier to use this technique in Online shopping as an option for user to try out the furniture items in their room they are thinking to buy and allow user to visualize the room how it will look after placing furniture in it. User can try out multiple combinations virtually, without physical movement of furniture items. Our motivation here is to increase the time efficiency and improve the accessibility of furniture try on by creating furniture augmented reality application. This system will help the customer to view the furniture object virtually in real environment before buying the object. Due to this system customer will come to know how his home structure would look after buying the furniture object. This system would let the user to try multiple combination of object virtually without physical movement of furniture objects. These will help the buyer to determine how to setup furniture in home structure.

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Augmented Reality, Marker Detection, Rendering

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 Abstract

Agriculture is the prime factor that controls the significant population of the world. As the large increasing population is directly or indirectly involved in Agriculture fields, it is the foremost and primal source of occupation. Among the agriculture industry Tea plantation agriculture is one of the most essential beverage people used to consume. Likewise in agriculture industry several challenges like crop disease and pest problem widely effect the production. Similarly in Tea plantation agriculture the production is severely affected by diseases. Therefore, automatic detection of disease in tea leaves at early stage has become an important factor. The concept of machine learning based techniques such as Deep Learning techniques diagnose the system for analyzing unhealthy leaves which seems interesting because there is a scarcity of skilled specialist to analyze images and make diagnostic conclusion. Furthermore, the introduction of new sophisticated hardware and software system approach has prompted the development of automated detection system for the early identification of tea leaf disease. This effort will facilitate the researchers those who are new in this field to get a quick introduction towards the trend of Deep Learning and Computer Vision in Tea plant leaves disease detection.

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Deep Learning, Computer Vision, Tea Leaf Disease.

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 Abstract

A Review on Clove:Exploring the Benefit of Clove from their

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A Review on Clove:Exploring the Benefit of Clove from their

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The SPSW are lateral load resisting structures which are getting widely used in high rise building structures. The objective of current research is to evaluate the structural and vibrational characteristics of SPSW without any opening type. The FEA structural analysis is conducted on steel plate shear wall using ANSYS simulation package. The FEA analysis is conducted on SPSW structure under static pushover loading conditions. The stresses of high magnitude are obtained at the corner edges of plate. The equivalent stresses are obtained across the entire steel plate and is found to be maximum at the center of mid plate of SPSW. The initial resonant frequencies are obtained for SPSW. The structure is likely to resonate across frontal plate direction which may cause damage to the structure.

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SPSW, vibration, stability, Finite Element Analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The liberty to speak and express oneself is a principal pillar of democracy which ensuring the ability of individuals to freely express themselves and actively engage in public discourse is a fundamental right. The following comparative study examines various ways of protecting this fundamental right across India, USA and UK. The first amendment to the constitution in the USA is a strong barrier against government intervention with free speech. The American historical context has significantly impacted this legal framework, which emphasizes on individual expression and the freedom to express anything regardless of how contentious or offensive it may be. Though the right itself has some restrictions, it is taken for granted in the UK as one of its essential freedoms that includes speech and expression. The UK regulatory framework for protection of free speech includes domestic laws and international laws. However, the Indian approach towards freedom of speech is based on a more moderate model compared with other countries. The Indian Constitution grants these rights, also article 19 (2) has "reasonable restrictions" which are allowed for the protection of social interests. Understanding the nation's perspective on free speech requires a close examination of its historical background rooted in the Indian fight for independence and a commitment to equal rights. This study analyses how these approaches have developed following the influence of relevant dates in law and court rulings. It discusses some of the current issues that come with the digital age like; online hate speech and false information. These challenges prompt distinct strategies in both countries. This research offers valuable insights into the diverse dynamics of freedom of speech, contributing to a more comprehensive understanding of how democratic societies steer the complex terrain of this concept while justifying the core values of democracy.

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 Keywords

Freedom of Speech, Comparative Analysis, Legal Framework, India, United States, Constitutional Protection, Historical Context, Cultural Factors, Contemporary Challenges, Free Expression.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When a blockchain application works on data from the real world, it relies on the oracle mechanism to transfer data from other sources to the blockchain. Blockchain the Oracle problem arises around the need to obtain reliable information from another source. Previous work focused on data authenticity/integrity by creating secure channels between blockchains and external sites, while using oracle network organizations to solve the information/integrity problem. Avoid failure of any kind. However, the problem of factual information, which arises when external legal documents present false or misleading information, has not yet been resolved. This project aims to solve these problems and improve the use of the chain using Oracle Blockchain technology. This project involves the design and implementation of a blockchain-based application chain using the Oracle Blockchain Platform. The main objectives include creating a distribution certificate and transparency to track the flow of goods throughout the supply chain, from the purchase of raw materials to the end of shipment. Smart contract functionality will automate key aspects of contract execution, invoicing and resolution, providing greater efficiency and cost savings. The findings and insights from the project are expected to contribute to the greater use of blockchain technology in supply chain management and create a more transparent, robust environment for the digital age. This summary summarizes the project's objectives, approach, expected results and potential impacts to provide stakeholders and readers with a brief overview

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Secure Oracle using the methodology in blockchain technology

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With the advent of information technology, the entire way of doing business has changed. Information technology has transformed all aspect of life bringing in an entirely new landscape. In recent times, the e-commerce sector has boomed and has almost done away with the conventional way of business. E-commerce refers to the place where the retailers are directly able to sell their products and services to consumers virtually, while no need of physical contact between the buyer and seller. It has ushered in new era where the consumers get a wide range of choices at their convenience. E-commerce has also stretched the reach of small retailer to a vast extent, while buyers are now able to reach out to a number of retailers of their choice. Ensuing transactions have impacted positively on the Indian economy. However, it has brought in many instances of fraud and malpractices leading to the need of robust regulatory mechanism which ensures the smooth operation of E-commerce business in India. E-commerce business in India is required to navigate through a vast terrain of laws. E-commerce is vastly dependent upon, inter alia, the data of consumers and retailers, which makes it susceptible to cyber threats and data breach thereby making it is necessary to follow the regulations so as to protect the interest of the concerned stakeholders. This paper will highlight the legal issues which are being faced by the e-commerce businesses in India. Furthermore, it will go through the relevant case laws impacting the business of e-commerce in India. The paper would deal with the data privacy of consumers and the dark patterns used by e-commerce businesses in detail. It will also analyze the applicable Indian laws on e-commerce. Lastly, the paper would conclude with the possible suggestions as to enhance the ease of doing business in India.

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E-commerce, Challenges, Data privacy, Ease of doing Business, Dark Pattern)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

cool air into the engine compartment and circulate it over the cylinder head. This process helps to prevent the engine from overheating, which could result in significant damage. The cooling efficiency of a scooter's engine is heavily dependent on the performance of these cooling fans. Scooters typically use centrifugal fans that have an axial air intake and radial air outflow and are fitted with either backward-curved or forward-curved blades. This project focuses on the prototyping of an engine cooling fan using reverse engineering techniques. Reverse engineering is used to dissect an existing cooling fan, making it crucial to comprehend its design and functionality. This approach allows for a deeper understanding of the fan's construction and operation

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 Keywords

Reverse Engineering, Two-wheeler, Engine cooling fan, 3D model, Scanning.

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Creative Commons Attribution 4.0 and The Open Definition