Volume 13 | Issue 5 |

 Abstract

Hearing about the violent activities that occur on a daily basis around the world is quite overwhelming. Personal safety and social stability are seriously threatened by the violent activities. A variety of methods have been tried to curb the violent activities which includes installing of surveillance systems. It will be of great significance if the surveillance systems can automatically detect violent activities and give warning or alert signals. The whole system can be implemented with a sequence of procedures. Firstly, the system has to identify the presence of human beings in a video frame. Then, the frames which are predicted to contain violent activities has to be extracted. The irrelevant frames are to be dropped at this stage. Finally, the trained model detects violent behaviour and these frames are separately saved as images. The enhanced images along with other necessary details such as time and location is sent as an alert to the concerned authority. The proposed method is a deep learning based automatic detection approach that uses Convolutional Neural Network to detect violence present in a video. An alert message is given to the concerned authorities using telegram application.

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 Keywords

Smart, Automated, Anti-violence, Intervention, Machine learning, Python

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper details the creation of an AI Laptop Assistant focusing on its implementation through AI algorithms and ML techniques to optimize user productivity and task workflows. This paper studies the design of an AI computer assistant that features NLP, voice recognition, and contextual attention features. With supervised and unsupervised learning models, the assistant personalizes itself as it learns to adjust to different workflow patterns forever. The overall system performance evaluation is based on end-user surveys aimed at providing usability metrics, accuracy levels, and satisfaction measures as well. The findings suggest that there is improved satisfaction with AI-ML technology integration as users become more task-efficient and less mentally challenged. The scope of research in this paper tries to contribute to the debate on the operational efficacy of AI solutions in normal computational environments.

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 Keywords

AI Desktop Assistant

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 Abstract

Using Jhumpa Lahiri's "The Namesake" and Monica Ali's "Brick Lane," this study examines how fictional characters handle cultural hybridity. This study examines how Ashima Ganguli and Nazneen Ahmed navigate cultural identity, displacement, and belonging in diaspora environments. Compare the two characters to achieve this. This study examines how both writers depict immigrant women's transformation as they adapt to new cultures using postcolonial and feminist theoretical frameworks. The analysis found that both protagonists handle hybrid characters differently while facing similar challenges. The study helps explain diasporic female identities and cultural hybridity in current international literature.

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 Keywords

cultural hybridity, diaspora, female identity, Jhumpa Lahiri, Monica Ali, postcolonial literature

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 Abstract

The National Education Policy (NEP) 2020 plays a pivotal role in the revival and global promotion of the Indian Knowledge System (IKS) by integrating indigenous wisdom into mainstream education. It promotes interdisciplinary research in Ayurveda, Yoga, and Vedic sciences, and fosters collaborations with international institutions Cultural diplomacy serves as a vital instrument in shaping international relations, fostering mutual understanding, and promoting intellectual exchange. India, with its vast and diverse knowledge systems encompassing Ayurveda, Yoga, Sanskrit, Vedic sciences, classical arts, astronomy, and philosophy--offers a profound intellectual heritage that has influenced civilizations for centuries. This paper serves the purpose of highlighting how India can leverage cultural diplomacy to globally promote its knowledge systems, positioning them as integral to education, healthcare, technology, and sustainable development. From the expansion of Buddhist philosophy to the mathematical contributions that informed modern computing, the research looks at historical examples of how Indian knowledge has influenced worldwide ideas. It showcases modern diplomatic endeavors that strengthen India's soft power, like International Yoga Day, the incorporation of Ayurveda into international wellness practices, and cooperative educational projects. The paper also assesses how policy frameworks, cultural exchanges, and digital diplomacy have contributed to the institutionalization of Indian Knowledge Systems (IKS) in the international academic and research community. The investigation of how cutting-edge technologies--AI, block chain, digital archives, and AR/VR--can modernize, authenticate, and scale IKS for worldwide deployment is a distinctive feature of this study. In order to transform IKS from merely cultural representation to a paradigm of knowledge leadership that tackles global issues like sustainability, mental health, and technological ethics, it promotes cross-sector collaborations between governments, universities, tech firms, and cultural organizations. India can strengthen its intellectual influence and ensure cultural sustainability while establishing IKS as a transformative force in the contemporary knowledge economy by fusing strategic digital initiatives with ancient wisdom.

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 Keywords

Cultural Diplomacy, Sustainable development, Indian Knowledge System, cultural sustainability.

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 Abstract

Road safety remains a critical global concern, with timely accident detection and emergency response being pivotal to reducing fatalities and enhancing traffic management. This paper presents an innovative automated accident detection system that leverages machine learning and IoT technology. The system employs IoT-enabled streetlight cameras to continuously monitor vehicle movements and capture real-time traffic footage. A YOLO-based deep learning model, trained on a self-collected, labeled dataset, processes this footage to detect accidents instantly. Upon detection, the system triggers automated alerts by sending emergency emails to control rooms and activating nearby alarms, thereby minimizing response time and facilitating rapid intervention. This integrated approach not only enhances the accuracy and speed of accident detection but also contributes significantly to improving overall road safety The system operates by continuously monitoring environmental and vehicular parameters such as sudden deceleration, collision impact, and abnormal movements. IoT-enabled sensors embedded in streetlights capture data, which is processed and analyzed by an advanced ML model to identify accident patterns with high accuracy. Upon detecting an incident, the system immediately triggers alerts to nearby authorities, medical services, and traffic management systems, ensuring prompt emergency response.

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 Keywords

Accident Detection, Node MCU, Ultrasonic Sensor, Vibration Sensor, LDR, LED Lighting, Embedded C, IoT, Thing Speak, Machine Learning, Emergency Alert, Smart Street Light

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the rise of digital learning, online examinations have become a crucial component of modern education. However, ensuring academic integrity in remote assessments remains a significant challenge. This paper presents an Online Proctored Examination System designed to enhance the security and credibility of online exams. The system leverages advanced proctoring techniques such as facial recognition, real-time monitoring and behavioral analysis to detect potential malpractice. Additionally, it incorporates voice modulation checks and camera modulation features to prevent unauthorized activities. By offering an automated and scalable solution, this system aims to provide a seamless and fair examination experience while addressing concerns related to cheating and identity verification. The proposed approach enhances the reliability of online assessments, making them a viable alternative to traditional in-person examinations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online Proctoring, Remote Examination, Academic Integrity, Facial Recognition, Real-time Monitoring, Cheating Prevention, Identity Verification, Secure Assessments.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Bookstore Web Application is a user-friendly, responsive platform designed to facilitate the browsing, searching, and purchasing of books online. It enables users to explore a wide catalog of books by category, author, or keyword, view detailed descriptions, and manage their shopping cart and orders.

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 Keywords

Internet, E-commerce, Online Bookstore, Website.

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 Abstract

This paper talks about the psychological stress in police officers and police suicides. Police officers face a lot of stress in their job, which can affect their physical health, mental wellbeing, and personal relationships.In India,several job related factors causes stress, such as long working hours, heavy work load, poor working conditions,lack of appreciation, fear of getting seriously hurt or killed while on duty, dealing with several threats like terrorist threats and facing violent situations.So we can understand that the mental health of the police is an issue receiving more and more attention due to the effects of post-traumatic stress disorder (PTSD) and the growing number of police suicides. Police are typically more exposed to various stressors that are often of the distressing variety, such as extensive physical tasks and training, receiving verbal abuse from the civilians they deal with, receiving criticism from the media, constantly having their performance monitored by body cameras or by the public, and pressure from leadership.Basically, this study is based on the following objectives: to evaluate reasons for causes of stress in police, to study the problems faced by police officials, to examine the reasons behind the increasing trend and issues, to evaluate the view of people regarding police stress and police suicide, to find out the psychological factors which lead to various health-related problems, and to investigate strategies for prevention and treatment.A convenient sampling method is employed to gather the samples. 200 samples. Independent variables are age, gender, education, and occupation. The main aim of the study is to understand the causes of stress and problems faced by police officials in their personal life.

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 Keywords

Police,Pressure,Prevention,Fear,Stress.

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 Abstract

--The large-scale usage of digital payment systems, more so the Unified Payments Interface (UPI) in India, has led to the corresponding increase in fraudulent transactions, which poses a serious threat to financial security. Static rules or conventional machine learning models are used by traditional fraud detection systems, which are incapable of learning and adapting to evolving patterns of fraud. In this paper, we propose a novel approach using Generative Adversarial Networks (GANs) for enhancing UPI fraud detection. Our GAN model consists of a Generator, which learns to create synthetic fraudulent transactions, and a Discriminator, which learns to distinguish between valid and fraudulent transactions. This adversarial pro cess enables the system to detect unseen or rare patterns of fraud that traditional models may not detect. We trained our model on a data corpus of transaction features such as transaction amount, time, location, and device metadata. Experiments indicate that the GAN-based approach outperforms baseline classifiers such as Support Vector Machines and Random Forests, particularly in detecting sophisticated and novel instances of fraud. Our proposed framework can be implemented in real-time fraud monitoring systems, thus providing a dynamic and adaptive protection against UPI fraud. Scaling the model to multi modal datasets and implementing the system for live transaction monitoring are the directions for future work.

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 Keywords

UPI Fraud detection, true positive, False positive,fraud transaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stomach ulcers, a prevalent gastrointestinal disorder, often result from imbalances between digestive acids and protective mucosal layers. Traditional treatments, while effective to an extent, are limited by inconsistent drug delivery, patient non-compliance, and delayed healing. This research introduces a novel therapeutic approach that integrates artificial intelligence with a dual-phase treatment system comprising Photo-Biomodulation and a transdermal patch. The primary objective is to enhance drug absorption, regulate dosage intelligently, and accelerate tissue repair through a non-invasive, smart healthcare solution. The system employs a biocompatible, multilayered transdermal patch capable of delivering medication through the skin in a controlled manner. Simultaneously, a targeted Photo-Biomodulation technique, using low-level light therapy, stimulates cellular activity, boosts microcirculation, and supports mucosal regeneration. A pre-trained artificial intelligence model is embedded into the microcontroller unit of the system to personalize therapy based on pre-assessed patient-specific parameters such as age, ulcer severity, and healing phase. This model determines optimal drug dosage and therapy duration without the need for real-time sensors. By synchronizing these two therapeutic modalities, the proposed system ensures continuous and efficient treatment while minimizing systemic side effects. Moreover, the design allows portability and ease of use, promoting adherence and enabling remote deployment. Experimental simulations and modeling validate the feasibility of this approach, suggesting significant improvements in ulcer healing time and treatment outcomes. This research presents a promising advancement in personalized gastrointestinal care, potentially transforming conventional ulcer management strategies through an AI-driven, self-regulating, and patient-friendly therapeutic device.

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 Keywords

Smart transdermal patch, Ulcer management, Inflammation, Photo-Biomodulation, Drug delivery

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Creative Commons Attribution 4.0 and The Open Definition