Volume 13 | Issue 3 |

 Abstract

This paper presents a real-time cattle health assessment and alert system that leverages a multi-sensor smart collar and machine learning techniques. The wearable collar integrates a temperature sensor (DS18B20), an accelerometer (MPU6050), and a heart rate/SpO2 sensor (MAX30102) to continuously monitor key physiological parameters in cattle. Data collected by an ESP32 microcontroller is processed and analysed using Random Forest for health status classification and Isolation Forest for anomaly detection. Alerts are delivered to farmers via a mobile application, enabling timely interventions. Testing demonstrates the system's high accuracy in detecting health anomalies such as fever, respiratory distress, and lameness, offering a scalable solution for early disease detection, reduced manual labor, and enhanced cattle welfare and farm productivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cattle health monitoring, Wearable sensors, Smart collar, Machine learning, Real-time monitoring, Anomaly detection, Random Forest, Isolation Forest, Early disease detection, Enhanced cattle welfare, Farm productivity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aging is a significant phase of life that brings numerous social, psychological, and economic challenges. This research investigates the problems and care systems of elderly individuals in Shankarpura village, Gujarat, focusing on family support, financial dependency, healthcare access, and awareness of government welfare programs. Using a descriptive research methodology, the study surveyed 47 elderly individuals, analysing their social conditions, financial stability, and access to healthcare services. The results reveal a decline in traditional caregiving structures, financial insecurities, and low awareness of government schemes. This study emphasizes the urgent need for policy reforms and stronger community involvement to improve elderly well-being.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Elderly care, social isolation, financial dependency, aging, healthcare access, government schemes

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India has a diverse range of medicinal plants that have not yet been fully studied. The traditional Indian medical system known as Ayurveda focuses the therapeutic benefits of herbs. The demand for new pharmaceutical goods derived from plants has sparked a lot of interest in the current research community because chemically made pharmaceuticals are more expensive and have more adverse effects Catharanthus roseus has good Ayurvedic recognition. The anti- microbial, anti-sterility, anti-tumor, anti-diabetic, anti-oxidant and anti-mutagenic properties of this substance are well-known. It is also used to treat many of fatal disease. This evergreen plant originally came from the Madagascar islands. The leaves are placed in opposite pairs, and the flowers can range in pink to purple color. The main phytochemical component of the Catharanthus roseus was alkaloids, which come in a variety of forms like vinceine, raubasin, ajmalcin, resperine, vincristine and vinblastine with a range of therapeutic applications.Because of its endangered status, it must be protected.In this review, an attempt has been made to summarize the ethnomedicinal value of the above plant against various diseases in a precise way to help the learners to understand the basis medicinal value of the plant.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Catharanthus roseus, Alkaloids, Apocynaceae, Monoterpenoid, Ethnomedicinal

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the role of AI-powered chatbots in enhancing learning outcomes among selected colleges in Coimbatore. The research explores how these chatbots assist students by providing instant feedback, personalized learning experiences, and interactive engagement. Through surveys and case studies, the study evaluates the effectiveness of AI- driven assessments and automated feedback in improving student performance and engagement. Findings suggest that AI-powered chatbots significantly contribute to a more efficient and adaptive learning environment. Keywords: AI-powered chatbots, learning outcomes, automated feedback, personalized learning, student engagement, higher education, Coimbatore.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: AI-powered chatbots, learning outcomes, automated feedback, personalized learning, student engagement, higher education, Coimbatore.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the role of community-based rehabilitation (CBR) in empowering persons with disabilities (PWD) to become leaders within their communities, with a focus on the Tiruvallur district of Tamil Nadu, India. CBR offers a holistic, person-centered approach that emphasizes independence, social inclusion, and self-advocacy, aiming to improve the overall quality of life for individuals with disabilities. The research examines the impact of CBR on the development of leadership skills, social participation, and self-empowerment among PWD. Data collected from a diverse group of respondents reveals significant insights into their educational backgrounds, job satisfaction, social engagement, and access to leadership opportunities. Key findings include a strong sense of respect from family and society (70.4%), high participation in community activities (53.7%), and a lack of opportunities for leadership roles (46.3%). Despite these positive aspects, gaps in financial security, accessibility, and leadership development were identified. The study highlights the need for targeted interventions, such as skill development programs, accessible infrastructure, and microfinance opportunities, to further enhance the inclusion and independence of PWD. By engaging local leaders, involving families in program design, and utilizing data-driven approaches, this research provides valuable insights to strengthen CBR programs and foster a more inclusive society for persons with disabilities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Community-Based Rehabilitation (CBR), Persons with Disabilities (PWD), Leadership Development, Social Inclusion, Self-Advocacy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bell's palsy is a condition that causes sudden weakness in the muscles on one side of the face. The exact cause is unknown. But in this case the patient shows the psychosomatic responses. The mental cause which affects the somatic part i.e. the body. Prolonged used of modern medicines such as corticosteroids which can cause many side effects such as constipation, chronic headache, diarrhea, etc. but only temporary relief takes place, after withdrawal of medicines can cause recurrent episodes. By the dynamic approach, on the basis of individualization of the patient and fundamental law of homoeopathy i.e. - law of similar, permanent cure takes place from the root cause.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bell's palsy, elixir, homoeopathic medicine, Natrum Mur

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Urban life is often seen as a space of endless possibilities, yet beneath the surface, it carries a weight of isolation, exhaustion, and longing. This dissertation explores the impact of industrialization, modern cityscapes, and shared spaces on human emotions and relationships through three contemporary novels, Love in the Big City by Sang Young Park, Beautiful World, Where Are You? by Sally Rooney, and If Cats Disappeared from the World by Genki Kawamura. Each of these works presents a unique perspective on how people navigate love, memory, and identity within the urban world. Through the lens of industrial poetics, this study examines how the modern city influences emotional and psychological experiences. In Love in the Big City, Seoul becomes both a place of liberation and confinement, where the protagonist's personal struggles are shaped by the city's evolving social landscape. Beautiful World, Where Are You? moves through the complexities of friendship and intimacy in an Ireland shaped by capitalism and housing crises, questioning the role of shared spaces in human connection. If Cats Disappeared from the World explores the consequences of loss in an increasingly disconnected society, highlighting how the absence of seemingly small things can reveal the deeper significance of human relationships. By analysing these novels, this dissertation aims to show how industrialisation and modern urban life shape the ways people love, grieve, and remember. It argues that the city is not just a backdrop but an active force that alters human interactions, pushing individuals toward both connection and solitude. In a world that is constantly expanding and accelerating, these works remind us that the true essence of life often lies in the small, unspoken moments that survive within the vast machinery of modern existence.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Urbanisation , Cityscapes, Industrialisation n, Modernity, Isolation, Longing, Memory, Love, Loss, Shared Spaces, Loneliness, Communication, Identity, Relationships, Nostalgia, Displacement, Capitalism, Connection, Alienation, Poetry of the City.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hyderabad's rapid urban expansion has been significantly influenced by Floor Space Index (FSI) regulations, shaping its urban density, infrastructure resilience, and real estate dynamics. While high-FSI zones, such as HITEC City and Gachibowli, have driven economic growth and vertical expansion, they have also contributed to traffic congestion, infrastructure strain, and affordability challenges. In contrast, low-FSI areas, such as Secunderabad and the Old City, face inefficient land utilization, overcrowding, and a lack of investment in urban amenities. This study critically examines the evolution of FSI policies in Hyderabad, comparing planned and unplanned FSI growth and analyzing their impact on land use, infrastructure development, and socio-economic disparities. A mixed-method approach is employed, integrating GIS-based spatial analysis, statistical correlation of population density and real estate trends, and case study comparisons of key urban zones. The findings reveal that imbalanced FSI allocation has led to uneven urban growth, with high-FSI commercial corridors overburdened by inadequate infrastructure and low-FSI residential zones experiencing stagnation and informal settlements. The study underscores the necessity of optimizing FSI utilization, implementing Transit-Oriented Development (TOD), promoting mixed-use zoning, strengthening regulatory enforcement, and integrating smart city solutions for a more sustainable and inclusive urban future. Proposing policy recommendations for balanced FSI application, this research highlights the need for a holistic and data-driven approach to urban planning in Hyderabad. Future studies should focus on real-time FSI monitoring, socio-economic impacts of vertical expansion, and global best practices for sustainable high-density urbanization.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FSI, urban density, infrastructure planning, real estate development, Hyderabad, Transit-Oriented Development (TOD), mixed-use zoning, smart city solutions, sustainable urbanization, GIS-based spatial analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Urban expansion in rapidly growing cities like Hyderabad has led to significant changes in spatial land use patterns, influencing infrastructure, environmental sustainability, and socio-economic development. This study examines how Hyderabad's land use has evolved over the past two decades due to economic growth, population increase, and policy-driven urbanization. Using GIS-based spatial analysis, remote sensing data, and land use change modeling, the research evaluates the transformation of agricultural land, water bodies, and green spaces into urban built-up areas. The findings indicate that uncontrolled urban sprawl and uneven land use distribution have contributed to traffic congestion, environmental degradation, and increased pressure on public services. The study employs a mixed-method approach, integrating satellite imagery analysis, census data interpretation, and case study comparisons of high-growth zones such as HITEC City, Gachibowli, Shamshabad, and the Old City. The research highlights key trends, including urban fragmentation, loss of agricultural land, and expansion into ecologically sensitive regions. Additionally, it explores the role of policy frameworks such as the HMDA Master Plan 2031 in guiding Hyderabad's land use transformation. To address the challenges posed by rapid urbanization, the study recommends integrating sustainable land use policies, strengthening environmental protections, implementing smart growth strategies, and adopting transit-oriented development (TOD) principles. The research underscores the need for data-driven urban planning and proactive governance to ensure Hyderabad's future growth remains sustainable, inclusive, and resilient.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Spatial land use patterns, urban expansion, GIS analysis, Hyderabad, sustainable urban planning, land use change modeling, transit-oriented development, environmental sustainability, smart growth strategies, remote sensing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a method to analyze badminton player performance and decision-making using computer vision and AI. We track player movements and shuttle trajectory using YOLO models trained on custom data. Player positions are mapped to a top-down view using homography, while shuttle height is estimated by detecting shot transitions. A reinforcement learning model, trained in a simulated environment, predicts optimal movements, which are compared with actual player decisions. We evaluate accuracy by measuring differences in predicted and real positions. Graphs visualize speed, shuttle movement, providing valuable insights for player improvement.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Badminton analysis, decisions analysis in sports, performance analysis in sports, YOLO object detection, Reinforcement learning

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Creative Commons Attribution 4.0 and The Open Definition