Volume 12 | Issue 4 |

 Abstract

In the ever-evolving landscape of advertising, the ability to forge deep emotional connections with consumers has emerged as a pivotal factor in the success of marketing campaigns. This comprehensive project, titled "A Study Project of Dairy Milk Advertisements Connecting Emotionally with Its Customers in India," delves into the fascinating world of Cadbury Dairy Milk advertisements and their remarkable capacity to resonate with the hearts and minds of Indian consumers. Within these pages, we embark on a journey to unravel the strategies, narratives, and creative elements that have enabled this iconic brand to carve a lasting place in the emotional fabric of India. Through meticulous research, critical analysis, and insightful findings, this report offers a comprehensive exploration of how Dairy Milk advertisements have leveraged emotional storytelling to not just sell chocolates but to become an enduring part of India's cultural tapestry.

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 Keywords

Emotional Marketing, Confectionery Industry, Consumer Emotions, Marketing Strategies, Emotional Appeal

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The stock market is a crucial component of any economy in the world. It is a way for companies to gain capital for its day to day functions. It enables stock brokers to trade securities, bonds and equities in a market. Once a share is listed on the stock market, it can be bought and sold by traders, investors or the general public. Recently, a lot of work has been done to predict the movement of the market. Forecasting the movement of the stock market is gaining momentum among various researchers, investing communities and enthusiasts as it provides better guidance with respect to investing. Predictability is one of the major factors which, the profitability of trading in stock and investing is dependent on. The profits earned by investment and trading in the stock market depend on the predictability of the stock, to a large extent. If any system is developed which can consistently predict the trends of the dynamic stock market, would make the owner of the system wealthy. Moreover, the predicted trends of the market will help the regulators to make corrective measures to stabilize the market. Many expert practitioners and researchers have put forward several models using various technical, fundamental and analytical techniques to give a prediction on the stock market pattern. Stock prediction focuses on estimating the future price movement in a stock, which is generally perceived as a challenging task due to the non-stationarity and volatility of the stock data. Dynamic stock market price variation and its chaotic behavior have increased the price prediction problem.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial intelligence

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The five Japanese words Seiri (Sort), Seiton (Set in order), Seiso (Shine), Seiketsu (standardise), and Shitsuke are the roots of the systematic approach known as 5S. (sustain). In monitoring an organised environment, this system assists in organising a workplace for efficiency, reducing non- value-added operations, and improving quality and production. The goal of this paper is to review earlier research on the effectiveness and advantages of 5S implementation in businesses. The findings demonstrate that 5S is a powerful instrument for enhancing organisational performance regardless of the kind, size, production, or service of the business. So, the 5S approach would substantially support an organization's goals of achieving continual performance and productivity development. 5S is a method of quality improvement. The 5 (Seiri, Seiton, Seiso, Seiketsu and Shitsuke) techniques greatly support a small business's primary goal of achieving continuous improvement and higher performance. In a production environment, implementing 5S can lead to significant improvements in performance as well as budget, health, and safety.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

5S, Seiri, Seiton, Seiso, Seiketsu, Shitsuke

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The JARVIS platform is an impressive example of how state-of-the-art technology can come together. It combines a beautiful graphical user interface (GUI), perfect voice command integration, and creative features like the OpenCV-powered "Air Canvas" functionality. With the aid of artificial intelligence, users may interact with this virtual assistant in a natural and intuitive way, doing tasks like online browsing, conversing with chatbots, and issuing dynamic voice commands. The system also has sophisticated features, such as extremely effective facial recognition and motion detection, which it achieved with an astounding 95% accuracy rate over several trials. Using computer vision, the Air Canvas feature enables users to express their creativity with smooth hand motions, and voice commands can handle a variety of tasks with efficiency. This innovative project presents a method to technology participation that is simple and user-friendly.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Air Canvas, Voice Assistant, Chat Bot, Motion Detector, Person Identification, AI tool Supporter.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This abstract delves into the intricate dynamics of Adivasi food practices in Sundargarh, examining their profound connection to culture, ecology, and resilience. Highlighting sustainable resource management and traditional knowledge, it explores how tribal communities cultivate a diverse array of foods, deeply rooted in their environment. Adivasi cuisine, characterized by seasonal variations and reliance on forest resources, serves as a vital expression of identity and community bonds. Yet, amidst the richness of tradition, contemporary challenges such as globalization and environmental degradation threaten these age-old practices. Initiatives like the Millet Mission aim to revive traditional knowledge and promote sustainability, offering hope for the future. By empowering communities to reclaim and celebrate their culinary heritage, this article also talks about cultural preservation. Ultimately, the study underscores the importance of preserving indigenous food systems for a brighter and more sustainable future.

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 Keywords

Oraon (kurukh), Kisan (kunha), Tribal food practice, Ecology, Cultural Perpetuation, Adivasi.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract The relationship between Music and Religion is closely linked and is known as being a "complex and diverse" one. Music is commonly known for being a universal part of religion in a pleasurable way. For centuries music has been a huge part of the religious culture and has helped to 'promote' and 'influence' religion by engaging and embracing people in religion. An important reason why music is used in religion is to promote religious values by associating music with religious texts such as singing songs in God/s or Prophet/s names. Singing also shows a great deal of respect and appreciation for life and what happens after death depending on what you believe. Music is a universal medium used is almost all religions. There are many similarities in the ways it's incorporated into the religion as well as many differences. It is an essential and powerful element that enables worshippers to express their beliefs, their innermost thoughts and emotions. Music, when used sensitively, can create an atmosphere of worship, though if it is used insensitively the atmosphere can be destroyed. Composing music, taking part in the performance or simply listening and reflecting evokes a sense of spirituality. This paper tries to discuss on the Intimate Relationship between Music and Religion.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key word: Complex, diverse, promote, influence, music and religion

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence age predictions can be used in many fields, such as smart human-machine interface growth, health, cosmetics, electronic commerce etc. The prediction of people's sex and age from their facial images is an ongoing and active problem of research. The massive use of the social media and the huge number of messages that are shared on the internet, create a countless need to automatically detect the age and gender of the people who write the messages. In this research, face images of individuals have been trained with coevolutionary neural networks, and age and sex with a high rate of success have been predicted. The images cover a wide range of poses, facial expression, lighting, occlusion, and resolution.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Age; Machine Learning; Deep Learning; facial recognition; features extraction; image processing

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Creative Commons Attribution 4.0 and The Open Definition

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In the dynamic world we inhabit today, traditional notions of masculinity are being challenged and redefined. Anita Nair, a renowned Indian author, explores this theme in her novels. Through her profound character development, Nair presents a thought-provoking analysis of how individuals are breaking free from traditional male roles and societal expectations to embrace a redefined masculinity that is androgynous and fulfilling in nature. Men, as seen in Nair's novels, at times contradicted their upbringing, and began to explore new ways of being masculine that is not oppressive towards women and children. In this regard, Nair encourages men and women to become partners and allies to each other, promoting mutual respect, support.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Masculinity, Gender, Stereotype

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Creative Commons Attribution 4.0 and The Open Definition

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Detection of fake news on social media is a significant concern due to potential societal and national consequences. This paper introduces TruthGuard, a groundbreaking solution utilizing Natural Language Processing (NLP) to combat the rampant spread of fake news on social media platforms. The main goal is to identify the most effective machine learning model for accurately classifying news articles and social media posts as true or false. The methodology involves Python's scikit-learn, focusing on feature extraction and vectorization with tools like Count Vectorizer and Tfidf Vectorizer. The proposed system creates a special webpage and a Chrome extension for browsing with smart tools, integrating APIs for real-time fake news detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake news, Social media, Natural Language Processing (NLP), Machine learning, Count Vectorizer, Tfidf Vectorizer, TruthGuard, Chrome extension, API integration, Real-time detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber Crimes, Cyber crime against women, Cyber stalking, Cyber defamation, Cyber trolling, Cyber pornography, Cyber bullying, Cyber grooming, Cyber phishing

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Creative Commons Attribution 4.0 and The Open Definition