Volume 13 | Issue 5 |

 Abstract

Aadhunik Jeevan Shailee Mein Paatanjal Yogdarshankrit Ashatang Yog Ki Prasangita

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Aadhunik Jeevan Shailee Mein Paatanjal Yogdarshankrit Ashatang Yog Ki Prasangita

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 Abstract

The aim of this research paper is to explore the effects of the internet and internet culture on real life culture. It delves into how digital media and online communities have transformed how people interact, consume, and produce cultural artifacts, and the emergence of hybrid cultural forms. The research also considers the possible negative consequences associated with the increasing impact of internet culture on traditional cultural practices, and findings highlight the transformative potential of digital technologies in shaping cultural expression and production. The goal of this study is to look at how the Internet affects both modern and traditional culture through the experiences of regular people.

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Internet culture, digital media, online communities, cultural transformation, hybrid cultural forms, cultural consumption and production, traditional vs. modern culture, negative impacts of digital culture, cultural expression online, digital technologies and society

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Public safety remains a critical concern in modern society, especially in densely populated public areas such as transportation hubs, stadiums, and marketplaces. Traditional surveillance systems often rely on manual monitoring, which is time-consuming and prone to human error. This project introduces a real-time crowd and violence detection system using the YOLOv8 (You Only Look Once, Version 8) algorithm, a state-of-theart object detection model known for its speed and accuracy. The system monitors live video feeds from CCTV or IP cameras, identifying situations involving crowd buildup or violent behavior such as fighting or aggressive gestures. Once detected, the system triggers an automated alert that includes real-time data like timestamp, location, and event type, which is sent to security personnel through SMS, email, or mobile notifications. This solution ensures immediate response, reduces human dependency, and enhances situational awareness. The integration of artificial intelligence and real-time communication allows for efficient crowd control and violence prevention, thereby improving overall public safety. The project demonstrates how deep learning and automation can work together to create safer environments by providing authorities with actionable intelligence in real time.

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YOLOv8, Esp32 Cam, Node MCU, PIR Sensor

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Narratives of medical humanities play a critical role in effecting an ethical transformation of medicine against the backdrop of lived experience of the patients and physicians. These accounts thrust into visibility the feelings and existential dimensions of illness and confrontation with deep ruptures imposed by disease on bodily and perceptual realities. Against the space-time backdrop of diagnosis, such narratives reveal the destabilization of self in the interactions between inner and outer spaces, as well as subjective and objective temporalities. In this paper, an examination of Paul Kalanithi's memoir, When Breath Becomes Air, serves the phenomenological inquiry into illness by looking into how the advance of the terminal disease reconstitutes his inner space (body), personal space (relational and professional identity), and absolute space (external reality). The paper goes on to argue that the book constructs a complex and multiplicitous temporality in which the normal course of linear chronology is broken due to prognosis, memory, and legacy. The paper finally asserts that these long-term presences-a double anchor-this presence of the daughter and the presence of the memoir-serve as the ontological counterpoise to transience, embodied as a legacy that transcends the finite limits in space and times laid down by mortality.

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Narrative medicine; medical memoir; phenomenology of illness; embodied space; lived time; temporality; legacy.

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In a strength to increase system efficiency and exploit the usage of solar energy, the proposal recommends an Internet of Things-enabled smart solar tracking and load controlling system. The technology usages double-axis tracking to dynamically adjust the placing of the solar panels based on real-time light intensity statistics in order to capture the maximum solar irradiation imaginable throughout the day. Simultaneously, the system tracks developments in power usage and allots load as resourcefully as probable to cut down on unused and increase performance. IoT amalgamation makes it promising to control and monitor remotely via cloud-based technologies, allowing users to monitor energy production, load performance, and panel status in real time. The suggested system is appropriate for both residential and commercial solar applications since it places an emphasis on efficiency, sustainability, and intelligent automation. By integrating intelligent load control and solar tracking with IoT, the system's goal is to make renewable energy systems far more user-friendly and energy efficient.

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Internet of Things, smart solar tracking, load management, dual-axis tracking and intelligent control.

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Traffic safety applications using vehicle-to vehicle (V2V) communication is an emerging and promising area within the ITS environment. Many of these applications require real-time communication with high reliability.Li-Fi is a wireless communication system in which light is used as a carrier signal instead of traditional radio frequency as in Wi-Fi. Li-Fi is a technology that uses light emitting diodes to transmit data wirelessly. Li-Fi is a form of Visible Light Communication (VLC). VLC uses rapid pulses of light to transmit information wirelessly that cannot be detected by the human eye. This Proposed work is determined to enhance the quality of Intelligent Transportation System (ITS) with the help of Visible light communication technology using a Li-Fi transmitter and receiver kit. The V2V communication system consisting of the Li-Fi transmitters placed on a leading vehicle and the Li-Fi receiver is placed on a following vehicle. The received data can be used for further development in vehicle control and to avoid collisions by controlling the speed of the vehicle.

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Li-Fi; VLC; vehicles

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Lucknow a capital of Uttar Pradesh has vast potential of fish faunal diversity and offers considerable scope of inland fisheries development. Aquaculture activities in rural for most of the fisherman area. In order to establish fish faunal diversity of Lucknow a preliminary, data have been collected with the help of local fish farmers and market survey. Various lentic and lotic water bodies of 5 different locations of the district have been collected. During the study period, 35 fish species, 16 Families and 7 Orders have been identified. The present study showed that Lucknow possesses rich fish diversity but proper conservation measures are required to maintain sustainability and richness of the species diversity of the district.

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Fish diversity, Faunal, Aquaculture activities, Defragmentation.

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The real estate industry has experienced a dramatic shift in marketing strategies with the advent of digital technologies, particularly the rise of social media platforms. This study explores the evolving role of social media in digital marketing within the real estate sector, focusing on how platforms such as Facebook, Instagram, LinkedIn, and YouTube are being utilized to promote properties, engage with clients, and drive sales. The research examines the effectiveness of social media in lead generation, brand development, customer interaction, and campaign performance through both qualitative and quantitative analysis. Case studies and surveys with industry professionals highlight current trends, best practices, and common challenges faced in implementing social media strategies. The findings suggest that social media has become an indispensable tool for real estate marketers, offering cost-effective, wide-reaching, and interactive channels for reaching prospective buyers and enhancing customer experience. However, the study also underscores the need for continuous adaptation due to rapidly changing digital landscapes and consumer expectations. Overall, the research provides valuable insights for real estate professionals aiming to strengthen their digital presence and improve marketing outcomes through strategic use of social media.

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Real estate marketing, Digital marketing, Social media platforms, Facebook, Instagram, LinkedIn, YouTube

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In the competitive landscape of supply chain management, continuous learning and skill development are essential for maintaining workforce competency. The WeLearn program at TVS Supply Chain Solutions (Guindy) is a strategic initiative aimed at enhancing employee skills, fostering innovation, and improving overall efficiency. This study explores the impact of the WeLearn program on employee competency, focusing on critical areas such as technical proficiency, problem-solving abilities, and adaptability to evolving industry trends. The research utilizes qualitative and quantitative methods, including employee surveys and performance assessments, to evaluate the effectiveness of the program. Key aspects analyzed include participation rates, learning outcomes, employee engagement levels, and the direct correlation between training and job performance. Findings indicate that structured learning opportunities contribute significantly to workforce productivity, job satisfaction, and career advancement. Additionally, the study highlights challenges such as program accessibility, employee motivation, and the need for personalized learning modules. The results underscore the importance of continuous learning programs in sustaining a competitive workforce and suggest enhancements for optimizing the WeLearn initiative. By addressing identified gaps and incorporating emerging learning technologies, TVS Supply Chain Solutions can further strengthen its commitment to employee development and organizational excellence.

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Competency

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Real-time monitoring of physiological signals, specifically heart rate, is critical for the early identification of cardiovascular anomalies and general health monitoring. This article introduces a real-time heart rate monitoring system that employs consumer-level wearable technology, namely a Noise smartwatch, in order to obtain photoplethysmographic (PPG)-derived pulse information. The system proposed makes use of WebSocket-based communication for low-latency data transfer, incorporates a signal preprocessing pipeline for noise and artifact filtering, and employs rule-based anomaly detection algorithms to detect tachycardia and bradycardia conditions. A dynamic front-end interface provides responsive visualization of biometric trends and raises alerts on threshold violations. The backend infrastructure provides secure storage for longitudinal data analysis to enable trend identification and user-specific baselining. Experimental verification confirms system stability in regards to data integrity, latency of transmission, and accuracy of detection, placing this architecture as a viable solution for personalized, non-invasive cardiovascular monitoring and preventive medicine.

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 Keywords

Physiological Signal Processing, Wearable Data Analytics, Time-Series Anomaly Detection, Edge Computing in Healthcare, Health Informatics.

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