Volume 13 | Issue 1 |

 Abstract

Abstract--With the rapid advancement of artificial intelligence, there is a growing demand for assistive technologies that enhance accessibility. This paper presents an AI-Based Automatic Text Recognition and Text-to-Sound Conversion System designed to extract text from images and convert it into natural speech. The system integrates Google Cloud Vision API for Optical Character Recognition (OCR) and Google Cloud Text-to-Speech API for speech synthesis, enabling real-time text processing and audio generation. A key feature of this system is its multilingual support, allowing automatic detection and processing of text in multiple languages without manual selection. Users can upload images or capture them via a webcam, and the extracted text is converted into speech, which can be played back or downloaded in MP3 format. The backend is developed using Django, ensuring scalability, security, and ease of integration. This project aims to enhance digital accessibility by providing a seamless solution for users with visual impairments or reading difficulties. By leveraging AI-driven OCR and TTS technologies, it simplifies text digitization and promotes inclusivity. The proposed system demonstrates real-time efficiency, high accuracy, and adaptability, making it a practical tool for education, content accessibility, and assistive applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Optical Character Recognition (OCR), Text-to-Speech (TTS), Google Cloud Vision API, Accessibility, Django, AI-Based Speech Conversion.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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The COVID-19 pandemic has had a significant impact on the global educational system. The conventional method of teaching and learning, which involves in-person interactions and a physical classroom, has given way to either synchronous or asynchronous online education. In light of the ongoing COVID-19 epidemic, the purpose of this study is to investigate how satisfied students are with online education that has been introduced at the higher education level. The study used a survey to gather data using a quantitative technique and a questionnaire. In the state of Tripura, 110 students at various educational institutions made up the study's respondents. In terms of their experience with online education, the technological challenges they faced, their level of happiness and their academic abilities and accomplishments, the survey found that undergraduate students were generally happy with the usage of online learning. According to the study, pupils accepted online education as the new system of instruction and had favorable opinions on it. In actuality, internet education has become a novel approach to improving the educational process. The study's conclusions will make it easier for academic institutions and decision-makers to improve the online education process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online education, COVID-19, Satisfaction, level of happiness, academic abilities and accomplishments

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Philadelphia chromosome and the bcr-abl fusion gene cause aberrant myeloid cell proliferation, which is the hallmark of chronic myeloid leukemia (cml), a Myeloproliferative disease. Patient outcomes have significantly improved over the past 20 years due to considerable breakthroughs in treatment, especially with the development of tyrosine kinase inhibitors (tkis) like Imatinib. Tkis are now the mainstay of cml treatment, allowing 85-95% of patients to survive during the chronic periods while achieving a long-term remission. Patients who do not respond to first-generation tkis are treated with second- and third-generation tkis, such as dasatinib, nilotinib, andponatinib. For individuals who do not react to tkis, stem cell transplantation is still a curative option, albeit with increased risks. Leukapheresis, chemotherapy, and interferon-alpha are further treatments that are generally saved for particular situations or crises. It is essential to regularly assess hematologic, cytogenetic, and molecular responses in order to modify treatment and sustain remission. With improved survival rates and quality of life, cml is no longer a fatal disease for the majority of patients, thanks to treatment advancements.

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LEUKEMIA DISEASE, TREATMENT, SYMPTOMS, MONITORING.

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Creative Commons Attribution 4.0 and The Open Definition

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The increasing number of educated unemployed individuals is a growing concern in many societies, and home-based businesses have been proposed as a potential remedy. However, various challenges limit the effectiveness of home-based businesses in addressing this issue. This study explores these challenges by focusing on the experiences of 90 participants, selected purposefully from an initial sample of 100 individuals. The research identifies key obstacles such as intense competition and family obligations that hinder the success of home-based businesses. The findings suggest that while home-based businesses offer an opportunity for economic independence, there is a need for better support systems to help individuals navigate these challenges and sustain their businesses.

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Entrepreneurship, Homepreneurs, opportunities, Motivation

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Creative Commons Attribution 4.0 and The Open Definition

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The plant Calotropis procera (Aiton) Dryand, which is a member of the Apocynaceae family, is sometimes referred to as Rubber Bush and Apple of Sodom. It is often known as "Rui" in Marathi and "Mudar" in Hindi. (Pakistan and India). It is well recognized that the bark and leaves have anti-cancer, analgesic, antipyretic, neuromuscular blocking, purgative, and anti-hyperglycemic properties as well as the ability to heal wounds. Triterpenoids, flavonoids, cardiac glycosides, cardenolides, anthocyanins, ?-amyrin, ?-amyrin, lupeol, ?-sitosterol, flavanols, mudarine, resins, a potent bacteriolytic enzyme called calactin, a nontoxic proteolytic enzyme called calotropin, and a wax were found in the heartwood of Calotropis procera, according to the phytochemistry of the plant. The pharmacological properties of Calotropis procera are the main topic of this review.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

pharmacological actions, wound healing, anti-hyperglycemic impact, and Calotropis procera

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Creative Commons Attribution 4.0 and The Open Definition

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The widespread use of face masks has challenged traditional facial recognition systems, which depend on unobstructed facial features. This paper proposes a Masked Facial Recognition system using a Deep Neural Network-based FaceNet model integrated with IoT technologies for accurate identification and real- time location tracking. By training on diverse masked and unmasked datasets and employing transfer learning, the model achieves efficiency and robustness. IoT devices like cameras and GPS modules enable real-time data collection and seamless tracking in dynamic settings. The system adapts to different occlusion patterns by focusing on visible facial regions while ensuring privacy compliance. Experimental results show superior accuracy and responsiveness, making it suitable for applications like smart cities, healthcare, and secure access control.

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Creative Commons Attribution 4.0 and The Open Definition

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Masked Facial Recognition, Deep Neural Network (DNN), Face Net, Internet of Things Integration, Transfer Learning, Real-time Tracking.

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Creative Commons Attribution 4.0 and The Open Definition

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This study evaluates the impact of marketing strategies on the sales performance of Himalaya Face Wash, a flagship product of the Himalaya Drug Company. The research aims to identify key consumer demographics, analyze the effectiveness of marketing channels, and assess the correlation between marketing expenditures and sales outcomes. Using a 125-sample survey, Chi-square tests, and ANOVA, the study provides insights into consumer preferences and the role of marketing strategies in shaping purchasing behavior. Findings reveal that digital marketing and influencer collaborations significantly drive sales, particularly among younger demographics, while in-store promotions maintain relevance across age groups. The paper also explores the competitive landscape of the skincare market and offers actionable recommendations to optimize marketing efforts. The results highlight the importance of leveraging consumer data and focusing on personalized, multi-channel strategies to sustain growth and enhance competitive positioning.

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A STUDY ON ASSESSING THE IMPACT OF MARKETING STRATEGIES ON HIMALAYA FACE WASH SALES

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Blood donation is essential to global healthcare, with over 100 million blood units donated annually. Ensuring blood safety begins with a safe blood donor who has been rigorously screened and selected based on stringent national blood donor selection criteria. A retrospective cross-sectional study was done from January 2023. The study aims to evaluate the Voluntary blood donor demographic trends and deferral pattern among adolescents. Overall, 3782 Voluntary donors, of which 2391 (63.22%) donors were donated blood, 1391(36.88%) were deferred. The majority of the donors were Young Adults (20-39 years) 53.8% followed by Adolescents (18-19 years) 41.2%. The most common cause of adolescent deferral was Medical Causes 41.6% and Anaemia 40%, among the females highest at 84.12%. Lifestyle factors were 16.1%, including underweight 7.6%, and body piercing 5.1% males were higher in rate 7.94%. The majority of deferrals are transient in nature. Consistent follow-up of donors can contribute to the expansion of the donor pool.

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Creative Commons Attribution 4.0 and The Open Definition

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Adolescent Blood Donor, deferral causes, demographic trends.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract--The growing complexity and scale of Internet of Things (IoT) ecosystems demand robust and interpretable security solutions to detect and mitigate emerging threats. This research integrates Explainable AI (XAI) techniques, including SHAP (SHapley Additive Explanations) and LIME (Local Interpretable Model-Agnostic Explanations), into machine learning models such as Random Forest and SVM to enhance transparency and trust in IoT threat detection systems. A distributed processing architecture, utilizing Apache Spark and Kafka, ensures real-time scalability for processing large volumes of heterogeneous IoT data. XAI methods provided actionable insights by identifying key features influencing predictions, significantly reducing false positives and improving analyst response times. The study aligns with regulatory requirements like GDPR, offering a scalable, interpretable framework for IoT security. However, challenges such as computational overheads and adversarial risks highlight areas for future research.)

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT Security, Explainable AI, SHAP, LIME, Anomaly Detection, Real-Time Processing, Apache Spark, Apache Kafka, Machine Learning, Cybersecurity Compliance.

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Creative Commons Attribution 4.0 and The Open Definition