Volume 12 | Issue 4 |

 Abstract

Abstract: Balagarh is a small village of Balagarh CD Block in Chinsurah subdivision of Hooghly district in the state of West Bengal, India.A boat making industry was set up at Sripur of Balagarh, situated on the western coast of Bhagirathi river.The Balagarh boat industry goes back to the 16th century as Sripur finds a mention in the writings of Abul Fazl, a famous court Historian of Akber's reign.This industry is 500 years old.The Boat industry of Balagarh is famous for as one of the Bengal's oldest indigenous boat manufacturers centre.Saptagram, a thriving port of medieval times is located near Balagarh and main profession of the village is fishing, Which has helped the region developed a boat industry.But at present day the boat industry of Balagarh is lost its glory and fighting for revive.

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 Keywords

Keyword: Balagarh,Chinsurah,Sripur,Boat,Industry,Bhagirathi

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Creative Commons Attribution 4.0 and The Open Definition

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One key instrument for promoting economic growth is considered to be foreign direct investment, or FDI. Governments create policies that provide incentives to foreign investors to boost foreign direct investment (FDI) in order to raise the foreign exchange reserve or to advance a certain industry. China and other nations engineered policies to encourage foreign direct investment (FDI) by leveraging their abundant human talent and inexpensive resources. This research, which is entirely review-based, sheds light on the following topics: examining Indian FDI policy; FDI policy concerning retailing in India; factors drawing FDI to the Indian retail sector; and the effects of FDI on the retail sector.

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 Keywords

Retailing, multi-brand, Foreign Direct Investment, Economic Growth

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Creative Commons Attribution 4.0 and The Open Definition

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Green supply chain management, or GSCM, has become essential for companies all over the world that want to minimise their environmental impact while increasing sustainability and efficiency. The implementation of GSCM methods is highly relevant in the Indian setting, as industrialization is progressing at a rapid pace. This study looks at the use of GSCM methods in India, looking at a variety of cases to understand the difficulties, achievements, and impacts of such initiatives. Using case studies and empirical research, the study aims to provide useful lessons for businesses worldwide by shedding light on the acceptance and efficiency of GSCM methods within the Indian business context. The abstract provides a brief overview of the research area and highlights the crucial part that GSCM plays in reducing environmental impact and enhancing operational effectiveness. To shed light on the application of GSCM in India, it describes the approach used, which makes use of case studies and empirical analysis. Moreover, the abstract draws attention to the research's broader implications, implying that the conclusions will provide insightful guidance that may be applied to companies globally.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Green supply chain management (GSCM), Environmental impact, Sustainability, Efficiency, Indian industrialization

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Creative Commons Attribution 4.0 and The Open Definition

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The emergence of digital technology has significantly changed the marketing environment by providing companies with new channels for connecting and interacting with customers. This study looks into how different industries and demographic groups' customer purchasing decisions are affected by digital marketing tactics. The research uses a mixed-methods approach to provide a thorough understanding of how digital marketing effects consumer behavior throughout the purchasing process. It includes both quantitative surveys and qualitative interviews.The study's quantitative component employs a comprehensive online survey to investigate the efficacy of digital marketing strategies, including influencer marketing, email campaigns, social media advertising, and personalized recommendations, in stimulating consumer interest, product contemplation, and ultimately, purchase decisions. The survey also looks at how digital platforms might help with pre-purchase research. The qualitative component, which includes in-depth interviews with customers from a range of industries and backgrounds, complements the quantitative data. Through in-depth discussions of customer motives, attitudes, and decision-making processes in response to digital marketing initiatives, these interviews provide insight into the behavioral and psychological elements that influence consumers' purchasing decisions.Through the integration of quantitative and qualitative analysis results, this study intends to offer useful insights to companies looking to improve customer engagement and optimize their digital marketing strategy. The research findings will deepen our understanding of how consumer behavior and digital marketing interact, allowing businesses to better target their marketing campaigns and ultimately enhance sales and customer loyalty in the digital era.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The emergence of digital technology has significantly changed the marketing environment by providing companies with new channels for connecting and interacting with customers. This study looks into how different industries and demographic groups' customer purchasing decisions are affected by digital marketing tactics. The research uses a mixed-methods approach to provide a thorough understanding of how digital marketing effects consumer behavior throughout the purchasing process. It include

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Creative Commons Attribution 4.0 and The Open Definition

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The gym-tracking Android app, developed using Java and Firebase, offers a comprehensive suite of features to enhance the user's fitness journey. Users can access a wide range of exercises, yoga poses, and meditation techniques tailored to their preferences and fitness levels. The app incorporates a water reminder feature to ensure users stay hydrated throughout the day, promoting overall wellness. Moreover, an activity tracker monitors the user's physical activity, providing valuable insights into their progress and goals. This feature allows users to track their workouts efficiently and adjust their routines accordingly. The integration of an AI chatbot adds another dimension to the app, serving as a nutrition advisor. It offers personalized dietary recommendations based on the user's fitness goals and preferences. By providing tailored nutrition guidance, the app empowers users to make informed choices about their diet, further supporting their fitness journey. In combination, these features create a holistic fitness experience, enabling users to track their workouts, maintain hydration, receive personalized nutrition advice, and achieve their overall wellness goals effectively. The app serves as a comprehensive tool for individuals seeking to improve their fitness and lead a healthier lifestyle.

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Android app, Firebase Real-time Database, Gym Tracking App, AI Chatbot

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Creative Commons Attribution 4.0 and The Open Definition

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Finding colorectal polyps, which are precursors to colorectal cancer, requires a colonoscopy. The possibility of automated polyp recognition in colonoscopy pictures to help gastroenterologists improve the efficiency and accuracy of their diagnoses has drawn a lot of attention. In this work, we suggest a brand-new, two-step procedure for polyp identification in colonoscopy pictures. We use a deep learning-based method for initial polyp localization in the first stage. The goal of convolutional neural networks (CNNs) is to improve efficiency by reducing the computing burden by focusing exclusively on areas with probable polyps. CNNs are trained on a huge dataset of annotated colonoscopy images to recognize regions of interest likely to stage.. To improve the accuracy of polyp detection, we conduct a more thorough study of the regions of interest found in the first stage in the second stage. To further describe the discovered regions of interest, we use sophisticated image processing techniques like texture analysis, shape recognition, and context-aware feature extraction. By decreasing false positives and raising overall detection accuracy, this step improves polyp detection's specificity. We experimented with a wide collection of colonoscopy pictures, including instances with different polyp types, sizes, and textures, to assess the effectiveness of our technique. When compared to other methods, our technique shows promising results in terms of both sensitivity and specificity. Additionally, the suggested two-stage architecture demonstrates resilience to noise, changes in lighting, and other typical difficulties.. In summary, the suggested two-step approach combines the advantages of deep learning-based initial localization with cutting-edge image processing techniques for refined identification, providing an efficient means of automated polyp detection in colonoscopy pictures. By improving the efficiency and accuracy of colorectal polyp detection, the integration of such automated technologies into clinical practice may ultimately improve patient outcomes for colorectal cancer screening and diagnosis.

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Creative Commons Attribution 4.0 and The Open Definition

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ColoRectal cancer (CRC), Convolutional Neural Networks (CNN), Sessile Serrated Adenoma/Polyp (SSAP), Discrete Cosine Transform (DCT), Pyramid Histogram of Oriented Gradient (PHOG)

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: This review explores the role of automation technologies in housing society management, focusing on their impact, challenges, and future prospects. Drawing from a comprehensive analysis of existing literature and case studies, it examines the adoption of automation in tasks such as resident registration, bill collection, maintenance, and complaint management. The review highlights the benefits of automation in enhancing efficiency, transparency, and resident satisfaction, while also addressing challenges such as implementation costs and technology integration. Additionally, it identifies emerging trends such as the use of blockchain and machine learning for further optimization. By providing a succinct overview of current practices and future directions, this review offers valuable insights for policymakers, housing society administrators, and researchers aiming to leverage automation for improved housing society management.

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my SQL HTML, Javascrip ,CSS, java, jsp, Spring , jQuery, servlet

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Consumer buying behavior is a complex and dynamic process influenced by various internal and external factors. This project aims to provide a comprehensive analysis of consumer buying behavior. The study was conducted with the aim to know the CONSUMER BUYING BEHAVIOUR TOWARDS LG WASHING MACHINES in HS ENTERPRISES, Tirupati. And Descriptive research was adopted for this study, primary data was collected from consumers of LG washing machines, and the secondary data collected from the published sources such as books, magazines, websites, journals and also involved discussions to obtain insights by distributing questionnaires to 100 consumers, who were selected through the convenience sampling technique. Findings reveals that most of the consumers influenced by company promotions it helps the company getting more sales. The study suggests that to highlight the key factors influencing the consumer behavior and also to offer suggestions for enhancing consumer buying experiences.

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Creative Commons Attribution 4.0 and The Open Definition

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consumer buying behavior, company promotions, key factors.

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Creative Commons Attribution 4.0 and The Open Definition

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Job satisfaction boils down to how happy you feel about your work. It considers whether you find your tasks engaging, have supportive colleagues, and receive fair compensation. Satisfied employees are typically more motivated and productive, and they're less likely to leave the company. Job satisfaction isn't fixed, though. It can fluctuate based on changes in your role, personal life, or even the company culture. The good news is that businesses can play a role in keeping employees happy by offering competitive pay, opportunities for growth, and a positive work environment. Numerous variables, including productivity, turnover, absenteeism, and more, are linked to job satisfaction. Some people believe that the way someone acts is indicative of their true character. An individual's outlook and set of values determine the extent to which they are motivated to exert effort. Research on job satisfaction usually focuses on a few key factors because an employee's attitude towards their work affects their behaviour. The general well-being of an individual is also affected. An individual's job satisfaction may, thus, influence their overall pleasure. Numerous good things can happen to a company when its personnel are satisfied. The study's overarching goal was to dissect the factors that contribute most to workers' contentment on the job and find out how men and women rate their own degrees of satisfaction. To accomplish these aims, this research drew its conclusions from a survey of 200 people in the organization , with 100 men and 100 women participating. The study's standardised questionnaire consisted of thirty questions that addressed the pros and cons of the occupation.

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Creative Commons Attribution 4.0 and The Open Definition

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Job satisfaction, Workplace happiness, Factors influencing job satisfaction, Motivation, Employee well-being, Gender differences

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Creative Commons Attribution 4.0 and The Open Definition

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This survey paper provides a comprehensive analysis of the information security practices within the realm of IoT security. It explores the challenges, strategies, and best practices for implementing security principles to enhance the security posture of IoT systems. By synthesizing existing literature and real-world case studies, this paper offers insights into the evolving landscape of in the context of IoT security

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Creative Commons Attribution 4.0 and The Open Definition

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IoT Security, Botnet, Machine Learning, Deep Learning, Information Security.

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Creative Commons Attribution 4.0 and The Open Definition