Volume 14 | Issue 4 |

 Abstract

There are so many challenges and issues in Social and Humanities Science . It includes poverty, inequality( economically and gender), regional disparities, unemployment, corruption, religion and caste disputes, militant, climate change, mental health, drugs, smoking, drinking, pollution etc. Recently a big social challenge is arising. That is cyber crime. The major reason behind this is digital payments. Digital payments have made life easy. No need to keep cash . But this time it has become more challenges. In this paper SWOT analysis is discussed. A digital payment, sometimes called an electronic payment, is the transfer of value from one payment account to another using a digital device or channel. This definition may include payments made with bank transfers, mobile money, QR codes, and payment instruments such as credit, debit, and prepaid cards. Internet Banking, also known as Net Banking, allows customers of banks and financial institutions to make financial transactions through various digital payment modes like NEFT, RTGS, and IMPS. For an online payment to happen, both the customer and the merchant must have bank accounts, access to online banking, and a device to make the payment. Additionally, they need to be registered with a payment intermediary, such as a bank or a service provider. For example if you purchase something from your local grocery store and choose to pay via any other payment method (Mobile payment apps, banking cards ,Unstructured Supplementary Service Data(USSD), Aadhaar Enabled Payment System (AEPS), Unified Payments Interface (UPI), Internet Banking ,Mobile Banking etc.) that also is a digital payment.

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 Keywords

Digital Payments, Internet Banking, India, cyber crime, customers, banks, financial institutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the cultural significance of folk art among the Reang (Bru) community of Tripura, with particular focus on textile weaving, bamboo craft, ornaments, music, and dance. Drawing on fieldwork conducted in Kanchancherra village in Dhalai District, along with earlier observations and informal interviews, the research highlights how these art forms are deeply embedded in everyday life and identity rather than functioning as separate, purely aesthetic traditions. Weaving remains a central expression of Reang womanhood, and the rignai and risa are still worn with pride. While older women maintain traditional black-and-white designs, younger women increasingly adopt brighter colours and new patterns, reflecting both continuity and subtle change. Bamboo crafts such as baskets and mats continue to serve domestic, agricultural, and ritual purposes, though their everyday use is declining due to the availability of cheaper industrial alternatives. Ornaments retain cultural value, especially during festivals, but the shift from silver to aluminium and other metals signals changing economic conditions and evolving gender roles. Music and dance, particularly Hojagiri, remain vibrant and widely performed, supported by schools and cultural programmes. However, knowledge transmission is increasingly fragile as younger generations balance education, migration, and shifting aspirations. The study suggests that community-led initiatives, school-based cultural activities, and market-linked craft support could strengthen continuity while allowing creativity and adaptation. The findings emphasise that preserving Reang folk art is not only about safeguarding craft techniques but also about sustaining cultural identity, social memory, and community pride.

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 Keywords

Bru community; rignai; risa; bamboo craft; cultural identity; Tripura.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the rapid advancement of artificial intelligence and generative technologies, the rise of deepfake audio and video has become a major concern for digital security, branding authenticity, and misinformation prevention. This project presents an automated system capable of detecting deep fake audio and video using advanced AI and Deep Learning techniques. The system analyzes facial expressions, lip synchronization, voice patterns, and spectral audio features to identify inconsistencies typical found in manipulated media. Deep Learning models such as CNNs and Transformer-based architectures are utilized for recognizing subtle manipulation artifacts.

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 Keywords

Deepfake Detection, Artificial Intelligence, Deep Learning, CNN, LSTM, Misinformation Prevention, Digital Security.

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition