Volume 13 | Issue 4 |

 Abstract

Autobiography becomes a way of testifying to oppression and empowering the subject through their cultural inscription and recognition. The idea that autobiography can become the text of the oppressed, articulating through one person's experience, and experience which may be representative of a particular marginalized group, is an important one. Autobiography helps us to analyze the experiences and attitudes of a person. It is a sociological documentation of subjective experiences. It is the product of the surrounding in which the writer comes up and grown up. Indian women autobiographies express their social, political, economic and psychological struggle and their experiences throughout their life journey. In this research paper M.C. Mary Kom, Rtd. Lft. Gunjan Saxena, Indira Gandhi, Kamala Das, Sania Nehwal, Kiran Bedi, Kamala Markandaya ,Indira Goswani all this extraordinary women's autobiographical writing analyzed in detailed. This all autobiographical writing represents the fight of the self to create order out of random experiences and often mix arguments of history and culture.

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 Keywords

Identity, women Empowerment, Gender Study, Culture, Psychoanalytical analysis.

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This paper presents an automated queue management and prediction system designed to mitigate prolonged wait times in hospital settings. Leveraging machine learning, data science, and IoT technologies, the system utilizes RFID tag-sensors to capture real-time patient service process data. We compare various simulation and prediction techniques, including Random Forest, Monte Carlo simulation, Queue Theory, and statistical methods, to accurately predict queue wait times. The system integrates a Raspberry Pi for data processing, NodeMCU for wireless transmission, a MySQL database for data storage, and a Java Swing GUI for real-time monitoring. By automating data collection and providing accurate wait time predictions, this system aims to enhance patient experience, improve hospital efficiency, and optimize resource allocation.

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 Keywords

RFID, Queue Theory, Raspberry Pi, NodeMCU, MySQL, IoT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Abstract

Automatic video summarization is an essential solution to the rapidly growing volume of digital video content, enabling efficient information retrieval and content management. This project introduces a deep learning-based approach that combines multiple advanced architectures to generate context-aware and user-specific video summaries. TransNetV2 is used for precise shot segmentation, while a Convolutional Neural Network (CNN) extracts abstract visual features. DBSCAN clustering filters redundant frames, and CLIP enhances content understanding by aligning visual and textual information. The system processes both visual and audio data and generates concise summaries tailored to user preferences. Implemented as a Flask web application, it allows users to upload videos or provide YouTube URLs for summarization. Evaluation results demonstrate improved performance in keyframe selection, with higher precision, recall, and mean Average Precision (MAP), while significantly reducing video length without losing essential content. The system holds potential for enhancing content recommendation, discovery, and digital media organization across domains like education, journalism, and research. Future work aims to support real-time summarization and multilingual capabilities.

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 Keywords

Deep learning, Video summarization, CNN, TransNetV2, CLIP, DBSCAN, Flask Web Application, Audio-visual processing.

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Creative Commons Attribution 4.0 and The Open Definition

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With rapid urbanization and the exponential growth of vehicular traffic, traditional traffic management systems struggle with increasing congestion, inefficiency, and environmental impact. Intelligent Traffic Signaling (ITS) systems offer a solution by utilizing real-time data analysis, machine learning algorithms, and Internet of Things (IoT) devices to optimize traffic flow and reduce delays. These systems monitor key parameters like vehicle density, speed, and pedestrian activity using sensors, cameras, and connected vehicles, dynamically adjusting signal timings to improve traffic distribution. Advanced algorithms, such as reinforcement learning, enable ITS to continuously adapt based on historical traffic patterns, seasonal variations, and special events. By reducing unnecessary idling and stop-and-go driving, ITS also lowers fuel consumption and emissions. As cities evolve toward smart infrastructure, ITS plays a key role in reducing traffic accidents, enhancing road safety, and improving urban mobility.

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 Keywords

Dynamic Signal timings, Intelligent Traffic Signalling(ITS), Reduce Delays, Fuel Consumption, Rapid Urbanization, Optimize traffic flow, Advanced algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper explores the development, functionality, and impact of RealAR, an advanced real estate platform integrating 3D model visualization and augmented reality (AR) to enhance property showcasing and buyer engagement. The study adopts a user-centered approach, combining quantitative analysis of user interactions with qualitative evaluation of the platform's AR capabilities, interactive UI, and real-time communication features. Through systematic evaluation, the research assesses the effectiveness of 3D model-based property exploration, real-time chat functionalities, and advanced filtering mechanisms in improving user decision-making and engagement. The findings underscore the importance of integrating WebAR, dynamic property listings, and real-time interaction in creating an immersive and informed propertybuying experience. Additionally, the paper examines the implications of interactive 360-degree views, AI-powered recommendations, and seamless navigation on user satisfaction and adoption rates.

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 Keywords

Trading, Market, Educative

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Creative Commons Attribution 4.0 and The Open Definition

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India's foreign policy has entered a challenging phase of strategic recalibration as global power dynamics evolve. The country must strike a difficult balance between its long-standing defence and energy relations with Russia and its growing technological, economic, and security ties with the US. This paper critically investigates how India has manoeuvred its diplomatic stance to assure military readiness, economic growth, and regional stability in the context of the Ukraine conflict, rising US-China tensions, and global trade realignments. The study examines India's strategic autonomy, defence modernisation, and involvement in multilateral forums using a qualitative analysis of secondary sources, revealing that India's decisions are primarily motivated by pragmatic national interests.

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 Keywords

India-US Relations, India-Russia Relations, Strategic Autonomy, Defense Diplomacy, Ukraine War. U.S.-China Rivalry, Indo- Pacific, Geopolitics

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Creative Commons Attribution 4.0 and The Open Definition

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Miniature painting in India originated from the Buddhist manuscript Illustrations in the Pala period of Nepal and the Eastern side of India in the 8th to 11th century. Miniature art thrived from the early 16th century until the mid-19th century. The notion of portraiture, or the accurate representation of humans, originated in Western art. Its application in Mughal painting started in the late 16th century. However, the Mughal Empire in India added a level of elegance, refinement, and grace to this style of painting. With the fall of Mughal patronage, a significant number of artists relocated to the Punjab Hills. The Sikh School, which prospered under the guidance of Maharaja Ranjit Singh, had many different sites, and most of the paintings featured the life of Guru Nanak Dev and other Sikh Gurus.

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 Keywords

Sikh Miniature, Portraits, Spiritual, Simplicity, Janamsakhi.

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Creative Commons Attribution 4.0 and The Open Definition

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We have employed first-principles density functional theory (DFT) calculations to systematically explore the influence of partial substitution of Fe with Mg in FeAl?O? on its structural properties. This strategic substitution of Mg emerges as a crucial factor in enhancing the multifunctional characteristics of the material, particularly for advanced thermocatalytic applications. Despite its promising potential, the effect of Mg incorporation on FeAl?O? has remained unexplored from a first-principles perspective, especially in the context of solar thermochemical fuel generation and photovoltaic technologies. Our electronic density of states (DOS) analysis reveals a significant band gap upon Mg doping, when applied GGA there is no band gap and when we apply GGA+U there is band gap with 2.0 eV. Which in turn strongly modulates the electronic structure of the material making it a more efficient candidate for energy harvesting and conversion applications.

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 Keywords

Density Functional Theory, Electronic property, GGA+U

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Creative Commons Attribution 4.0 and The Open Definition

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: Plastic waste scattered in public spaces such as streets, parks, and industrial areas poses a major environmental concern. Traditional waste collection methods are labor-intensive, time-consuming, and often ineffective in covering large areas. To address this issue, an intelligent robotic system is proposed for the detection and collection of plastic bottle waste. The system utilizes a Raspberry Pi to control the robot and process input data. For object detection, a deep learning model, YOLOv8, based on Convolutional Neural Networks , is employed to identify and classify plastic bottles in real-time camera footage. The model is trained on a curated dataset of plastic waste images to ensure reliable detection. Once a plastic bottle is identified, the robot uses a mechanical arm to pick it up and place it into a collection bin. This system enhances the efficiency and safety of waste collection, particularly in hard-to-reach or hazardous areas. By reducing human involvement and automating the process, the proposed solution contributes to a cleaner, smarter, and more sustainable environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Robotic Waste Collection, Waste Detection, Image Processing, Raspberry Pi Camera, OpenCV, Real-time Waste Monitoring, Deep Learning, Smart Waste Management, Autonomous Robot, Efficiency and Cleanliness, Vision-Based System.

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Creative Commons Attribution 4.0 and The Open Definition