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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Duplication identification, hash algorithm, encryption, data integrity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DETECTION AND PREVENTION OF PHISHING

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Communication technology teacher training programme

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Communicative Competence, English, Textbooks, India, Oman

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Creative Commons Attribution 4.0 and The Open Definition