Volume 13 | Issue 4 |

 Abstract

Skin cancer refers to the abnormal growth of skin cells, typically triggered by DNA damage from exposure to ultraviolet (UV) radiation, leading to uncontrolled cell division and the formation of malignant tumors. Common signs of skin cancer include changes in the size, shape, color, or texture of moles or lesions, as well as the development of new growths or sores that do not heal. Early detection of skin cancer is crucial for successful treatment and improved prognosis. However, traditional methods of skin cancer diagnosis are often subjective, time-consuming, and reliant on expert interpretation, leading to challenges in accessibility and accuracy. In recent years, advances in image processing and machine learning have offered promising avenues for improving skin cancer detection through automated analysis of dermatoscopic images. It proposed the development and implementation of a novel skin cancer detection system utilizing convolutional neural networks (CNNs) for automated lesion classification. The system integrates features for data preprocessing, feature extraction, CNN model training, and diagnostic output visualization. Leveraging a diverse dataset of dermatoscopic images, the CNN model demonstrates high accuracy and robust performance in distinguishing between benign and malignant lesions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parkinson's Disease (PD), Magnetic Resonance Imaging (MRI), Pre-trained ResNet-18, Support Vector Machine, Fuzzy Support Vector Machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores the ethical and moral values embedded in the short stories of classical Sanskrit literature. By analyzing texts such as the Panchatantra, Hitopadesha, and Jataka tales, this study aims to uncover the philosophical ideals and moral teachings that these stories present. These tales, often written for both entertainment and instruction, reflect the cultural values of ancient India and continue to provide timeless insights into ethics, morality, and human behavior.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ethical Values, Short stories, Pancatantra, Hitopodesha

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A song recommendation machine is designed to provide personalized musical recommendations based on person options, helping people discover new collections of melodies tailored to their tastes. By taking advantage of the higher algorithms, the Gadget improves the general listening and simplifies the exploration of the melodies. As the melody performs an important function in the day -to -day life, Want's advice structures for sensitive transmission is more exceptional than ever. This framework carries detailed methodologies, equipment and implementations to guarantee adaptability and precision. It gives an uninterrupted and interactive person who delights, dynamically thinking of variables beyond listening discs. By promoting the effective interaction of the human computer, the system offers precise and custom -made recommendations, saving time and enriching the musical discovery for customers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chatbot, song recommendation, Spotify API, Last.FM API, generation of reproduction lists.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbal Formulations Neuroprotection: A Review of Mechanisms Against Alzheimer's and Parkinson's.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal formulations, Neuroprotection, Alzheimer's disease, Parkinson's disease, Antioxidants, Polyherbal therapy, Neuroinflammation

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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

 Keywords

RP-HPLC, Method Validation, Linearity, Accuracy, Precision, Robustness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: Menopause is a naturally occurring process involving decreased activity of ovarian follicles and causing permanent stoppage of menstruation in women. Hormonal fluctuations and menopausal symptoms predispose women to reduced physical activity and prone to chronic conditions. Women in menopause go through various physical and psychological changes. Women suffer from a decline in quality of life during menopause. An important factor improving these symptoms is physical activity. It also has a positive impact on quality of life. This review focuses on how physical activity affects quality of life in menopausal women. Objectives: To evaluate the effect of physical activity on quality of life in menopausal women. This review aims to analyze and summarize the available literature on the impact of physical activity on the quality of life in menopausal women. This review focuses on the effects of physical activity on menopausal symptoms and overall quality of life in women. Study Selection: A database available from Google Scholar, PubMed, Research Gate, and Science Direct was analysed, and studies published from 2009 to 2024 were included in this review. The included studies mainly focused on the relationship between physical activity with quality of life in menopausal women. Conclusion: Regular physical activity can improve menopause symptoms and thus the quality of life in middle-aged women and those suffering from climacteric symptoms. Therefore, women should be educated and encouraged to exercise regularly. However, the intensity of exercise and other factors might influence the outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Physical Activity, Quality of Life, Menopausal Women, Menopause, Menopausal Symptoms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The lack of accessible, localized agricultural support poses a major challenge for Tamil-speaking farmers, especially in rural areas with limited literacy. This project focuses on the development and evaluation of an AI-powered audio-based chatbot that supports Tanglish (Tamil written in English), Tamil, and English. Leveraging advanced speech recognition (Whisper) and natural language processing (GPT-4), the system allows farmers to interact through voice and receive real-time responses to queries related to crop management, pest control, weather updates, and market prices. Our research evaluates the chatbot's accuracy, response time, and user satisfaction, aiming to improve accessibility, inclusivity, and decisionmaking in agriculture. The proposed solution bridges the digital divide and empowers farmers through multilingual, voice- enabled agricultural assistance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tanglish Chatbot, AI in Agriculture, Voice-Based Agricultural Assistance, Tamil-Speaking Farmers, Speech Recognition (Whisper) , Natural Language Processing (GPT-4), Multilingual Chatbot, Smart Farming , Rural Technology Accessibility

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Caste and race play an important role in our present society. Based on color, Black people face oppression and mental struggle. There are different kinds of power domination. These power systems made a number of distinctions between common people. Also, these relations have a strong hold of authority. These are reflected in our social media, films, magazines, and literature. Contemporary Tamil, Malayalam, and Kannada films try to express these kinds of inequalities on the visual screen. Subaltern theories, postcolonialism, casteism, etc., evaluate these kinds of problems. We can get complete pictures of the lives of these low-caste people from movies. This paper tries to provide a deep vision of subaltern theory with reference to contemporary Tamil movies. In subaltern theory, concepts like hegemony and marginalization are visible. Like this, Tamil movies reflect the marginalized communities. They are isolated from society due to their color and status. This is very relevant in the present scenario.

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"Representation of Subalternity :A contemporary analysis on Tamil movies "

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

COVID-19 has created unprecedented challenges for global healthcare systems, particularly in resource-constrained settings where access to critical medical equipment, such as ventilators, is limited. Respiratory complications are one of the most severe outcomes of the virus, highlighting the need for cost-effective and scalable solutions for respiratory support. This study presents a novel bio-intelligent ventilation system designed to provide autonomous respiratory assistance while integrating real-time health monitoring. The system utilizes a combination of sensors, including oxygen saturation, pulse rate, and temperature tracking, regulated by a microcontroller to ensure accurate and responsive ventilatory support. A self-adjusting airflow mechanism adapts to patient-specific respiratory needs, ensuring safe and effective inhalation and exhalation. Continuous VitalSync monitoring offers real-time feedback for dynamic ventilation control, enhancing patient safety during critical care. The proposed system bridges the gap between high-end ventilators and affordable, portable alternatives, offering a reliable solution for pandemic resilience and future respiratory healthcare challenges.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, portable ventilator, respiratory aid, real-time monitoring, bio-intelligent system, VitalSync, pandemic resilience, autonomous ventilation, low-resource healthcare.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the operations of Zepto, an online retailer established in Bangalore, Mumbai, in April 2021 by two Stanford dropouts, Aadit Palicha and Kaivalya Vohra, both 19 years old. After GoPool and Kiranakart, this is their third start-up, so they are not entirely new to the startup industry. They arrived with this innovative concept while they wait for their goods to arrive in two to three days from the comfort of their homes. Zepto is one of the start-up subgroups that saw rapid growth in the years following COVID-19. The development approach by which the business is enabling products to be delivered in ten minutes is explained in this scenario. The American growth equity firm Glade Brook Capital Partners and the American start-up incubator Y Combinator are the primary investors in Zepto's $360 million fundraising round. The company is currently valued at $900 million. Thus, it it not a crazy notion that Zepto might soon transform into a unicorn. However, since Zepto has yet to turn a profit, there is serious concern about its business strategy. Zepto is also up against fierce competition from Blinkit, a company that began operations in December 2013 which was orignally known as Grofers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stanford Dropouts,Business Strategy,Ten-Minute Delivery Model,Online Retailer

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Creative Commons Attribution 4.0 and The Open Definition