Volume 13 | Issue 11 |

 Abstract

Using the massive Sarova project by Shapoorji Pallonji and SD Group as a key case study, this paper explores the crucial elements influencing client preferences and ultimate purchasing behavior in the upscale urban real estate market. A major challenge for developers is how to strategically balance tangible product offerings (amenities, location, space) with intangible assurances (trust, credibility, legacy) in order to command a premium and turn interest into sales. The modern luxury housing market is evolving beyond simple square footage to emphasize a holistic, aspirational lifestyle. To give a thorough analysis, the study uses a rigorous mixed-methods methodology. A hierarchy of preferences is established using primary quantitative data collected via a methodical online survey given to a target audience of prospective High-Net-Worth Individual (HNI) home purchasers. This covers the rating of the relative relevance of important decision-making factors including the reputation of the developer's brand, the overall infrastructure and amenities of the project, the benefit of location and connection, and the perceived investment worth. Secondary qualitative insights from industry publications and consumer psychology models that present buying luxury real estate as a high-stakes, risk-averse decision are added to this quantitative data. The expected outcomes will show that the decision-making process for purchases is multifaceted. The developer's well-established brand equity is the single most important anchor for reducing the significant financial and time risks associated with large, long-term investments, even though elements like upscale, exclusive amenities and a prime location are essential for creating initial interest and defining the project's aspirational value. In particular, the reputation of a brand like Shapoorji Pallonji offers a quantifiable level of assurance about quality, prompt delivery, and structural integrity qualities that HNI purchasers place a higher value on than marginal cost savings. In conclusion, this study confirms that a "one-size-fits-all" product design is not a successful strategy in the upscale real estate market. Rather, it calls for a strategic, dual focus: relentlessly investing in cutting-edge, future-proof lifestyle infrastructure that supports the premium price point while concurrently utilizing data-backed communication that strengthens and capitalizes on the fundamental assurance and trust offered by the developer's track record of success. For developers and marketers looking to maximize their value offering for maximum impact and long-term competitive advantage in the urban luxury home market, this strategy provides a clear, practical road map.

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 Keywords

1.High-end real estate 2.Urban housing market 3.Client preferences Purchase behavior 4. Luxury residential projects 5.Sarova project

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 Abstract

Social media platforms like Facebook, Snapchat, and Instagram not only support social interaction but also act as strong advertising tools for promoting trendy clothing, influencing consumer behavior and increasing demand for foreign-branded apparel. This study examines how social media affects the purchase decisions of Gen Z consumers in Coimbatore City. Using a quantitative approach, it relies on descriptive methods to analyze demographic data and applies ANOVA and Chi-Square tests to compare actual and expected results. The findings show that social media gives consumers more freedom and information, helping them make better purchasing decisions for both social and everyday use.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media, foreign-branded apparels, Gen Z, Consumer behavior, Influencing factors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hallyu, also known as the Korean Wave, has transformed from a local cultural trend into a potent worldwide economic force that profoundly influences consumer behaviour even outside of East Asia. In addition to strengthening South Korea's soft power, Korean entertainment and aesthetics, as cultural exports, have created a significant demand for Korean goods, ranging from fashion and electronics to food and cosmetics. Therefore, this study explores the economic effects of Hallyu in South Asia, emphasizing how Korean popular culture has changed South Asian audiences' consumption habits through K-pop, K-dramas, beauty standards, fashion, and digital media. The study investigates the ways in which parasocial connections, digital engagement, and emotional attachment to idols promote aspirational consumption and brand loyalty. The study examines the connection between cultural impact and market behavior using a mixed-method approach that incorporates digital trend mapping, consumer surveys, and content analysis in India, Bangladesh, Nepal, and Sri Lanka. It demonstrates how South Asian buyers are coming to identify Korean goods with authenticity, modernism, and aspirational lifestyles that are pushed by the entertainment sector. Additionally, cultural diffusion has been expedited by social media sites like YouTube, Instagram, and TikTok, which have allowed Korean firms to enter a variety of South Asian markets with little traditional advertising. As, Hallyu is influencing culture also therefore the results of this paper highlight Hallyu's twin function as a cultural and economic force, altering regional consumer identities and enhancing Korea's reputation as a global trendsetter. In the end, this research advances knowledge of how digital capitalism and cultural globalization interact to influence international consumption, establishing Hallyu as a paradigm for the 21st-century fusion of soft power, business, and culture.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Korean Drama, Cultural Globalization, Soft power, K-beauty, cultural marketing, fashion, economy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study conducted a comparative analysis of gender-stereotyped beliefs and practices among higher secondary school students in Aizawl and Kolasib districts. Employing a quantitative cross-sectional survey design, data were collected from a stratified random sample of 554 students (348 from Aizawl, 206 from Kolasib) using a self-structured questionnaire. Independent samples t-tests were used to analyse the data. All findings were statistically significant at the 0.01 level. The study concludes that geographic and socio-cultural contexts play a critical and complex role in shaping adolescents' gender ideologies and behaviors, suggesting that educational interventions aimed at reducing gender stereotypes must be tailored to address these specific local disparities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gender Stereotypes, Stereotyped Beliefs, Stereotyped Practices, Higher Secondary Students, Aizawl District, Kolasib District.

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Creative Commons Attribution 4.0 and The Open Definition

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Ghat roads and mountainous roadways are highly accident-prone due to their complex geographical features, including blind spots, steep gradients, narrow pathways, and sharp hairpin curves. Additionally, low visibility during adverse weather conditions such as fog, heavy rainfall, or mist significantly increases the likelihood of collisions and road departures. Accidents at hairpin bends caused by limited line-of-sight and reduced visibility remain one of the major challenges for road safety authorities in these regions. The proposed system addresses these challenges by integrating image processing, deep learning-based object detection, and embedded alert mechanisms. The system deploys strategically placed high-resolution camera modules along critical curves and hazardous road segments. These cameras continuously capture live video footage of the road environment, which is processed using Python-based computer vision techniques. The captured frames are analysed using advanced object detection algorithms to identify vehicles, wildlife, and other potential obstacles in real time. This is particularly important in forest-adjacent hilly zones where animal crossings, especially by elephants, deer, or cattle, are frequent and unpredictable. The processed detection data is then communicated to an Arduino Uno microcontroller, enabling real-time driver alerting. Based on the type and proximity of the detected object, the Arduino triggers visual and audio warnings using LED indicators, buzzers, and OLED/LCD display interfaces. This immediate hazard communication enhances the driver's situational awareness, thereby reducing reaction time and preventing accidents. In addition to obstacle detection, the system incorporates environmental sensing to improve road visibility. Sensors are utilized to monitor weather conditions such as fog density and ambient light levels. Under low-visibility conditions, the system automatically activates highintensity LED lights along the roadside edges to illuminate the path and clearly mark lane boundaries. This adaptive lighting improves road perception and prevents vehicles from drifting or skidding off slopes. By combining computer vision, sensor fusion, embedded automation, and intelligent alert systems, the proposed solution creates a comprehensive accident prevention framework suitable for hilly and ghat regions. The system not only enhances road safety and driver awareness but also contributes to significantly reducing collision risks, wildlife-vehicle accidents, and weather-induced visibility hazards. Furthermore, the continuous monitoring capability supports proactive road safety management and improves the overall resilience of transportation infrastructure in challenging terrains.

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 Keywords

Ghat road safety , Mountainous roadway hazards , Accident prevention system , Computer vision , Deep learning ,Object detection , YOLO-based detection, Real-time video processing , Embedded systems, Arduino Uno ,Driver alert system , Sensor fusion ,Fog and low-visibility detection ,Adaptive lighting , Wildlife detection , Roadside hazard monitoring ,Intelligent transportation systems (ITS) , Hilly region safety, Environmental sensing , Smart alert mechanisms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Drowsiness while driving is a major cause of road accidents worldwide. Fatigue reduces driver alertness, reaction time, and concentration, leading to fatal consequences. To address this, a low-cost, real-time driver drowsiness monitoring system is developed using image processing, fuzzy logic, and machine learning techniques. The system captures facial video through a webcam, detects facial landmarks, and analyzes parameters such as eye aspect ratio (EAR), mouth opening ratio (MOR), and nose length ratio (NLR). These values are processed through a Fuzzy Inference System (FIS) to classify the driver's alertness level. The proposed approach integrates adaptive thresholding and machine learning algorithms like Support Vector Machine (SVM) and Fisher Linear Discriminant Analysis (FLDA) for enhanced accuracy. Experimental results demonstrate that the proposed system effectively detects fatigue with high sensitivity and specificity, making it a practical solution for intelligent transportation systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Driver Drowsiness Detection, Fuzzy Logic, Machine Learning, Image Processing, Facial Landmark Detection, Eye Aspect Ratio, Adaptive Thresholding, Real-Time Monitoring, Python, OpenCV.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The retail landscape in the sports goods industry has undergone a significant transformation with the rise of digital commerce. This study, titled "A Comparative Study of Consumer Perception Between Online and Offline Sports Retailing," aims to explore and analyze how consumers in Karnataka perceive and interact with both online and offline sports retail platforms. With increasing internet penetration and changing shopping habits, understanding these perceptions is essential for retailers to adapt and stay competitive. The study investigates key parameters that influence consumer preference such as product variety, price competitiveness, convenience, trust, customer service, return/exchange policies, and overall satisfaction. It draws a comparative analysis between popular online platforms (like Amazon, Flipkart, and Decathlon online) and offline retail stores (such as Decathlon outlets, brand-exclusive stores like Adidas, Nike, Puma) to understand which channel holds more influence over consumer decisions. This comparative study provides valuable insights for retailers seeking to optimize their omnichannel strategies. It concludes that a hybrid retail approach--integrating the advantages of both online and offline platforms--is likely to be the most effective in meeting the evolving expectations of modern sports consumers in Karnataka.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Perception, Shopping Behaviour, Sports Retail, Online Retailing, Offline Retailing, E-commerce, Customer Satisfaction, Retail Strategy, Brand Trust, Omnichannel Retail.

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Creative Commons Attribution 4.0 and The Open Definition

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Information and Communication Technology plays a crucial role in enhancing opportunities, skills, and competencies essential for learners and educators in the digital era. ICT integrates emerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), Augmented and Virtual Reality (AR/VR), Blended Learning, and Open Educational Resources (OERs). These tools make the teaching learning process more creative, collaborative, and engaging. Information and Communication Technology (ICT) provides a creative learning environment that connects learners to real-world experiences and supports continuous assessment through digital platforms, thereby transforming the education system in a rapidly changing world. ICT in education involves the use, adaptation, and sharing of information while ensuring the availability of broadband networks. It also plays a crucial role in bridging the digital divide, which remains a significant challenge in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Information Communication Technology in Education, Digital Education, Integrated Teacher Education Programme (ITEP), Online Platforms, ICT-enable Educational Initiatives. Government Digital Learning Programmes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence (AI) is changing drug discovery by speeding up research, lowering costs, and improving success rates. Using methods like machine learning, deep learning, and NLP, AI quickly analyzes large datasets to find drug targets, predict how drugs will work, and improve drug design. It also helps identify side effects earlier and makes clinical trials more efficient through better patient selection and data analysis.Although AI offers many benefits, such as higher accuracy and reduced risks, challenges like data quality, model transparency, and regulatory issues remain. Improving data standards and collaboration will be important for future progress. Overall, AI has strong potential to create safer, more effective, and more affordable medicines.

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 Keywords

Artificial intelligence, drug discovery, machine learning, deep learning, drug formulation drug, drug design.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Ayurveda, the ancient Indian system of medicine, describes the human body as being composed of seven fundamental tissues or Dhatus, among which Asthi Dhatu (bone tissue) plays a crucial role in providing structural support and stability. According to Ayurvedic principles, Kesha (hair), Loma (body hair), Nakha (nails), and Danta (teeth) are considered as Upadhatus or Mala (by-products) of Asthi Dhatu, and their health and appearance directly reflect the state of the underlying bone tissue. This study aims to explore the intricate relationship between Asthi Dhatu and its Upadhatus through the lens of both Ayurvedic and modern scientific perspectives. The Ayurvedic concepts of Dhatu Poshana Nyaya (tissue nutrition), Asthidhatvagni (metabolic factors responsible for bone formation), and the role of Vata Dosha in maintaining bone health are discussed. The study highlights how imbalances in Asthi Dhatu, such as Asthi Kshaya (depletion) or Asthi Vriddhi (excess), manifest as visible changes in hair, nails, and teeth, such as brittleness, hair loss, dental caries, and nail abnormalities. These findings are correlated with modern scientific understanding of calcium metabolism, vitamin D deficiency, and hormonal influences on bone health. The genetic basis of conditions affecting both bones and ectodermal structures, such as ectodermal dysplasia and cleidocranial dysplasia, further substantiates the Ayurvedic concept of the interconnectedness of Asthi Dhatu and its Upadhatus. The study concludes that the health of Kesha, Loma, Nakha, and Danta can serve as valuable diagnostic indicators of Asthi Dhatu's condition, enabling early detection and timely intervention in various bone disorders. The insights from this study underscore the relevance of Ayurvedic principles in understanding human physiology and the potential for integrating Ayurvedic and modern approaches in the diagnosis and management of bone health.

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 Keywords

KEYWORDS: Asthi Dhatu,Asthi Kshaya,Asthi Vriddhi, Danta, Dhatu-paka,Dhatvagni, Kesha,Loma, Mala Bhaga,Nakha, Prasada Bhaga, Upadhatu

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Creative Commons Attribution 4.0 and The Open Definition