Volume 14 | Issue 4 |

 Abstract

Paytm has a large user base in India and plays an important role in the digital payments ecosystem. The platform has more than 333 million registered users and over 100 million monthly active users, showing its widespread adoption across the country. In the Unified Payments Interface (UPI) ecosystem, Paytm holds around 7-9% of the market share, making it one of the major digital payment applications in India, although platforms like PhonePe and Google Pay have a larger share. Paytm is widely used for mobile recharges, bill payments, online shopping, and merchant payments. Its growing user base and merchant network highlight the increasing acceptance of digital payments in India.

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 Keywords

Key Words: Paytm, digital payment platform, transfer cash

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 Abstract

Retail businesses throughout the world, especially regional textile retailing, have been significantly influenced by the digital transformation. This study focuses on how Kanyakumari District's (KK District) textile retail marketing can be improved through digital transformation. The study analyzes the usage of digital tools like social media, e-commerce, and digital payments using primary data gathered from consumers and textile retailers. The outcomes show that digital transformation boosts sales performance, broadens the market, and enhances consumer engagement. However, issues including a lack of technical expertise and infrastructure constraints continue to exist. Recommendations to increase textile retailers' usage of digital technology are included in the study's conclusion.

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Key words: Retail Marketing, Digital innovations, Traditional techniques.

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Attendance monitoring is an essential requirement in educational institutions to maintain discipline and performance records. Traditional manual systems are error-prone, while biometric systems often involve higher costs and longer processing times. This paper proposes an IoT cloud-integrated automated attendance system for enhanced security and accuracy. Each student carries an RFID tag that is scanned by the RFID reader to mark attendance. To prevent proxy usage of RFID cards, the system incorporates a camera module that captures the image of the individual during scanning, enabling cross- verification. The attendance data is stored in a real-time cloud database, allowing instant access for report generation and analysis. The system also sends notifications to the parents of individual students regarding their attendance status and features a web interface to track attendance changes on a date-by-date basis. This solution reduces manual effort, improves reliability, enables real-time monitoring, and provides efficient, secure, and transparent attendance management suitable for schools, colleges, and other organizations.

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 Keywords

IoT, Cloud-Integrated Attendance System, RFID, Real-Time Database, Notification Service, Web Interface.

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This research investigates the association between emotional coping via night-time YouTube consumption and sleep disturbances among working adults aged 25 to 65 years. Amidst rising digital engagement, YouTube serves not only as a source of entertainment but also as a tool for managing stress, emotional exhaustion, and psychological distress. The primary aim of this study was to determine whether emotionally motivated YouTube use during night hours is significantly linked to disruptions in sleep. A quantitative, non-experimental correlational design was utilized. Data were gathered through an online survey administered to 100 participants, with 82 individuals (N = 82) meeting the inclusion criteria of regular night-time YouTube usage (post-9 PM, at least three times weekly). The study employed self-developed measures, including the Night-Time YouTube Usage and Emotional Coping Scale and the Sleep Quality and Sleep Disturbance Scale Pearson's correlation analysis demonstrated a statistically significant moderate positive correlation between emotional coping through night-time YouTube viewing and sleep disturbance, r(78) = .49, p < .001. This finding suggests that greater emotional dependence on YouTube during night hours is associated with adverse sleep outcomes, such as delayed sleep onset, diminished sleep quality, and heightened daytime fatigue. Nonetheless, the correlational design precludes causal inferences. These results emphasize the psychological relevance of digitally mediated coping strategies and their impact on sleep health. The study highlights the importance of addressing emotionally driven digital behaviors within mental health interventions, sleep hygiene protocols, and digital well-being initiatives.

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Emotional coping, Night-time YouTube use, Sleep disturbance, Digital coping, Sleep quality

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 Abstract

Heart disease remains one of the leading causes of mortality worldwide, posing a significant challenge to healthcare systems due to its complex etiology and the need for early and accurate diagnosis. With the rapid growth of medical data and advances in computational intelligence, machine learning and deep learning models have been widely adopted for heart disease classification. However, most high-performance models operate as black boxes, providing predictions without offering insights into how decisions are made. This lack of transparency limits clinical trust, interpretability, and ethical adoption in real-world healthcare environments. Explainable Artificial Intelligence (XAI) addresses this critical gap by enabling models to provide human-understandable explanations alongside predictions. This research proposes an XAI-driven methodology for heart disease classification that balances predictive accuracy with interpretability. The methodology integrates structured clinical data such as age, cholesterol levels, blood pressure, electrocardiogram results, and lifestyle indicators with interpretable machine learning techniques. By embedding explanation mechanisms such as feature attribution, rule-based reasoning, and local explanation models, the system allows clinicians to understand why a patient is classified as high-risk or low-risk. The proposed approach aims to improve diagnostic confidence, support clinical decision-making, and enhance patient trust by offering transparent and accountable AI outcomes. Ultimately, this study contributes to the development of ethical, reliable, and clinically applicable AI systems in cardiovascular healthcare.

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 Keywords

XAI-based framework,SHAP,xNoise,precision ,CNN,RNN,GRU,LSTM,SDCNN

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 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Air Quality Monitoring, Machine Learning, XGBoost, Linear Regression, Internet of Things (IoT), ESP32, Health Risk Prediction, PM2.5, Environmental Monitoring, Smart System

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Rapid urban growth and rising population density have led to increased security challenges in today's cities. Traditional fixed surveillance setups, like CCTV cameras, have limited coverage areas and often leave blind spots. They also rely heavily on existing infrastructure and can be slow in responding to incidents. This paper introduces a new mobile surveillance solution known as the Urban Security Surveillance Car. It uses advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), GPS tracking, and cloud computing to improve urban monitoring. The system includes real-time video recording, smart object detection, a central monitoring dashboard, and automatic alert functions. By combining mobility with smart data analysis, the Surveillance Car provides better coverage, faster response times, and easier integration into smart city systems. The proposed model shows better performance and flexibility compared to traditional fixed surveillance methods.

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 Keywords

Urban Security, Smart City, Surveillance Vehicle, AI Monitoring, IoT, GPS Tracking, Cloud Surveillance

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 Abstract

Piper nigrum Linn., commonly known as black pepper and referred to as Filfil Siyah in the Unani system of medicine. It belongs to the family Piperaceae and is among the most widely used spices worldwide, earning the epithet "King of Spices" due to its exceptional culinary, and medicinal significance. It is indigenous to India, and it has a long history of use in traditional medicine for the management of digestive, neurological, respiratory, and metabolic disorders. The present review aims to compile classical Unani literature, botanical description, phytochemistry and scientific evidence to highlight the therapeutic potential of Piper nigrum. The fruits are rich in bioactive compounds, particularly piperine, along with essential oils, alkaloids, phenolics, and terpenoids, which contribute to their wide range of pharmacological activities. In Unani medicine, Filfil Siyah is described as Muqaww?-i-Jigar (liver tonic), Muqaww?-i-A???b (nervine tonic), K?sir wa Mu?allil-i-Riy?? (carminative), Mudirr-e-Baul (diuretic), Mudirr-e- Haiz (ammenogogue), Mushtah? (appetizer) and is effective in treating various diseases such as Bu?l?n al-Ha?m (indigestion), Amr?z-e-Dim?ghiya B?rida, Amr?z-e-A???b (neurological disorders), Amr??-e-Jigar wa ?i??l (liver and splenic diseases), Waja? al-Kh??ira wa Amr??-i-Maf??il (lumbago) and arthritic diseases. Scientific studies have demonstrated its antidepressant, neuroprotective, analgesic, anticonvulsant, antimicrobial, antioxidant, digestive stimulant, and bioavailability-enhancing properties. This review highlights the therapeutic potential of Piper nigrum as a valuable medicinal plant supported with scientific evidence.

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Piper nigrum, Filfil Siyah, Piperine, Unani medicine, Bioavailability enhancer.

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This paper presents Sahaaya - Integrated Life Saving Services, a centralized emergency response system designed to provide real-time assistance by integrating multiple critical services such as ambulance booking, blood donation, and safety alert mechanisms into a unified digital platform. The proposed system implements a multi-layer service architecture comprising a Request Processing layer for handling user inputs and emergency requests, a Real-Time Communication layer for instant notifications and tracking using WebSocket-based communication, and a Service Integration layer that connects users with nearby service providers based on location and availability. The system is deployed using a scalable full-stack architecture with React/React Native frontend, Node.js backend, and MongoDB/PostgreSQL databases to ensure efficient data handling and secure communication. A priority-based request handling mechanism ensures faster response for critical emergencies, while integrated modules such as SOS alert system, live ambulance tracking, blood donor matching, and safety tools (including fake call feature) enhance system reliability and usability. A real-time dashboard interface provides live updates, request status tracking, and user interaction features for seamless coordination. Experimental analysis demonstrates that the system significantly reduces response time, improves service accessibility, and maintains stable performance under concurrent user requests, with emergency response actions processed within a few seconds under normal network conditions.

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Emergency Response System, Ambulance Booking, Blood Donation, SOS Alert, Real-Time Tracking, Public Safety, Smart Healthcare, WebSocket Communication, Integrated Services, Mobile Application.

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ABSTRACT: Women empowerment is a central concern of the 21st century. In India, it has gained considerable attention in recent years as it plays a crucial role in achieving inclusive and sustainable development. Women empowerment incorporates an environment wherein women can breathe without any fear of oppression, exploitation, or discrimination in a patriarchal or male-centric structure. In a developing country like India, achieving gender equality, social justice, human development, and sustainable growth is vital. Despite constitutional guarantees of equality and various government efforts, Indian women continue to face several issues. Women empowerment is still an illusion of reality. Various social evils related to women can be seen in daily life, like inequalities in employment and education, gender, caste, class, religion, and region. To eliminate these social evils, women's empowerment can be a crucial tool to enhance women's abilities. It can be very helpful in making strategic life choices. The main objectives of the study are to examine the current status of women's empowerment in India and to investigate the sociological factors that affect women's empowerment in India, with a particular focus on patriarchy, gender norms, caste, class, and institutional structures that shape women's access to resources and decision-making power. The study adopts a descriptive and analytical research design that is truly based upon secondary data sources. The findings of the study revealed that educational and health indicators are improved, but still gaps persist, especially among rural and marginalized women. Female labor force participation remains low that limits their economic empowerment. Patriarchal norms, unequal access to education and employment, and structural barriers continue to restrict women's substantive empowerment and decision-making power. The research study also discusses the role of family, community, government, and civil society in promoting women empowerment.

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 Keywords

KEYWORDS: Women empowerment, Injustice, Inequality, Gender Discrimination, Patriarchal society

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Creative Commons Attribution 4.0 and The Open Definition