Volume 12 | Issue 4 |

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Abstract: Every aspect of human existence now has a digital component because to information technology. This, along with the advent of contemporary digital marketing, also altered traditional marketing. The new marketing strategies, which make use of a variety of digital and IT-based tools and approaches, drastically alter marketing operations for both customers and sellers. The goal of this article is to determine and assess the many facets of digital marking practices in connection to consumers of mobile handsets. This study's primary goal is to look into how digital marketing practices affect mobile phone purchasers' purchasing decisions and experiences, which are incentivized and fulfilled by these practices.

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Keywords: mobile phones/handsets, digital marketing, customer behavior, and IT (information technology

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Mergers and Acquisitions is considered as one of the strategies for growth which have emerged as a natural process of business restructuring throughout the world. Companies intensely working in competitive business environment have to change fast as per the evolving dynamics in their industry of operation. The principal benefits from mergers and acquisitions can be listed as increased value generation, increase in cost efficiency and increase in market share. Mergers and Acquisitions may generate tax gains, can increase revenue and can reduce the cost of capital. Mergers and Acquisitions have gone up manifold with unprecedented pressure because of falling margins leading to an unparalleled restructuring in the manufacturing sector- RELIANCE INDUSTRIES LTD and RELIANCE PETROCHEM LTD is experiencing a continuing mind-boggling figure of combinations. The present study is an attempt to find out the difference in post-merger financial performance compared with pre merger in terms of profitability and generating more value than the separate firms, resulting in consolidation, refocusing and restructuring of the industry with a motive of faster mechanism. Mergers result in the combination of two or more companies into one, wherein merging entities lose their identities. No fresh investment is made through this process. However, an exchange of shares takes place between the entities involved in such process. Generally, the company that survives is the buyer which retains its identity and the seller company is extinguished. Horizontal Merger: A horizontal merger occurs when two companies operating in the same industry and at the same stage of production combine their businesses. The aim is to achieve economies of scale, increase market share, reduce competition, and enhance overall profitability. For example, if two automobile manufacturers merge, it would be considered a horizontal merger. Vertical Merger: A vertical merger takes place when two companies operating at different stages of the supply chain or production process merge together. This type of merger aims to improve efficiency, streamline operations, and gain greater control over the supply chain. For instance, if an automobile manufacturer merges with a tire manufacturer, it would be a vertical merger. Conglomerate Merger: A conglomerate merger occurs when two companies operating in unrelated industries or with diverse product lines merge together.

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Financial Analysis

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In an age marked by rapid technological advancement, seamlessly integrating new technologies with existing infrastructure is crucial. One notable effort in this direction focuses on enhancing data access, optimization, and organization by merging traditional technology with cutting-edge concepts. This start-up specializes in big data analytics and edge computing, aiming to shape a brighter future. Security concerns, particularly in areas with abandoned properties due to demanding responsibilities, are paramount. To address this, CCTV cameras are widely deployed to safeguard homes during owners' absence. Additionally, in smart cities, surveillance cameras play a vital role in collecting evidence for crime prevention and investigation. This project introduces a novel surveillance approach that combines conventional video monitoring with advanced motion-based sensing technology. Unlike typical systems that merely record footage, the proposed system utilizes sensor cameras to identify and analyze visible object motion, facilitating proactive responses to potential security threats. Its ability to capture only moving frames through motion detection represents a significant breakthrough, optimizing system resources. By integrating prior background intensity inference into frame analysis, the system enhances its ability to detect and respond to physical movements accurately. This research and development initiative not only advances security systems but also showcases the successful fusion of traditional and modern technology to tackle contemporary challenges. The suggested motion-based surveillance system presents a viable alternative for efficient and resourceful security monitoring in both residential and urban environments.

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Surveillance Systems, Motion-Based Surveillance, Security Threats, Smart Cities, Optimization, Edge Computing.

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This study explores Secure Multi-party Computation (SMPC), a crucial cryptographic method that protects data privacy by allowing several parties to work together to calculate functions over their data without revealing each party's unique inputs. The investigation of SMPC's theoretical foundations, such as its algorithmic procedures and cryptographic techniques that protect private data during shared computations, is essential to this work. In cross-institutional medical research, where data privacy is crucial, the study focuses on the practical applications of SMPC in diverse disciplines. By means of comparative analysis, the effectiveness of SMPC is assessed in relation to alternative privacy-preserving technologies, underscoring its distinct potential to enable cooperative data analysis while maintaining data confidentiality. Case studies illustrating SMPC's practical applications are included in the research, along with an analysis of the difficulties and solutions encountered during deployment. Also the study also looks at SMPC's security and privacy features, assessing how resilient it is to possible privacy violations and data breaches. With a forward-looking conclusion, the paper highlights the chances and problems facing SMPC going forward and argues for its critical role in promoting privacy-preserving data analysis in the face of increasing demands for data sharing.

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Secure Multi Party Computation(SMPC), Cryptography, Cyber Security

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This essay aims to provide a thorough analysis of the issue of cultural hybridity in the Indian Diasporic novels of authors Anita Desai and Jhumpa Lahiri. This essay examines the two works in-depth, comparing and contrasting them. The selected primary texts are Desai's "Journey to Ithaca" and Jhumpa Lahiri's "Namesake." The concepts of a diasporic novel are explored in both of these books, with cultural hybridity being one of several topics that are highlighted. The characters' journeys in both books take us through their struggles and experiences as they leave their home country and transition into new cultural identities. The study examines how characters' cultural identities are shaped by hybrid environments and cultural crossovers. In order to facilitate a thorough examination of the themes, characters, and places in "The Namesake" and "Journey to Ithaca," this article offers a framework for examining cultural hybridity in these two works.

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Diaspora, Self Discovery, Self Identity, Identity Crises, Cultural Hybridity, Cultural Identities, Traditions, Multiculturalism, Indian Diasporic Literature

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This project develops an Android application for Smart Farming using artificial intelligence which provides solution that seamlessly integrates advanced technologies to revolutionize traditional farming practices. Leveraging the power of artificial intelligence, this application aims to optimize agricultural processes, enhance productivity, and ensure sustainable farming practices. Through real-time data collection and analysis, the app empowers farmers with actionable insights and automated decision-making capabilities. The integration of deep learning algorithms enables the application to adapt and evolve, continuously improving its ability to provide personalized recommendations for crop management and farming practices. With a user-friendly interface, the Smart Farm app serves as a comprehensive tool for farmers, offering remote monitoring and crop health assessments. The application utilizes a vast database of annotated images of various crop diseases, allowing the AI model to accurately identify and classify diseases affecting crops. Farmers can simply capture images of diseased plants using their smartphone cameras, and the application will provide instant analysis, helping farmers take prompt and targeted actions to mitigate the impact of diseases on their crops.

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TECH-DRIVEN CROP YIELD OPTIMIZATION

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The stability of a company's financial position is linked to its fundamentals. The fundamentals offer details about a company. A company's fundamentals are strong if it is growing profitably, at a healthy rate, has few debts, and has adequate cash on hand. To ascertain a company's fundamentals, one must do a thorough analysis of its financial statements rather than concentrating on the day-to-day variations in its stock price. Equity researchers usually utilize fundamental analysis to ascertain the intrinsic value of a company's shares. If the stock of a corporation trades for more than its fair value or intrinsic value, it is overvalued. If the price of a stock is lower than its intrinsic worth, it is considered undervalued. Nonetheless, the bulk of firms' share prices if you closely monitor the stock markets, it never aligns with the fair value. Day traders and other investors who want short-term investing opportunities often invest in those stocks regardless of the companies' long-term growth prospects. However, long-term investors usually ignore short-term share price volatility and choose to invest in companies with solid fundamentals. a variety of ratios, including gross profit, quick, debt-to-equity, and current ratios.

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analysis, intrinsic value, stock market, share price, current ratio, and gross profit ratio all type of ratio include

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A country with an ever-booming economy such as India, requires a well-developed and efficient transport system. With road transport remaining the primary mode of transport for most of India's businesses and citizens, it is crucial to have a technological emergency response system that can help to aid and mitigate road accidents. In this project, we bring forth an advanced Accident Detection and Alert System (ADAS) that uses the leading-edge YOLO (You Only Look Once) V8 algorithm, which can analyze the video footage captured by AI traffic cameras that are deployed across the Indian roadways. This algorithm has been trained to detect incidents such as vehicle crashes during mobile road traffic. Upon identifying an accident, the system promptly triggers an SMS alert message with the help of a cloud communication platform (Twilio) to relevant contact numbers such as contact numbers of emergency response departments like the police force, fire and safety, and ambulance services.

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Accident detection, YOLOv8, Twilio, SMS alert, Object Detection

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Textile waste is one of the significant environmental concerns, as discarded textiles often end up in landfills, contributing to pollution. Every year, India accumulates around 7,793 kilotons of textile waste, with approximately 51% coming from consumer usage, 42% from manufacturing leftovers, and 7% from imported sources. This paper develop an innovative process by transforming post-consumer textile waste into high-quality resin-based consumer goods in the category of Accessories and Home décor products. The abstract focuses on post-consumer textile waste in the context of the 17 Sustainable Development Goals (SDGs) and also explores strategies to address these challenges, including recycling and up-cycling. By following the SDGs, we can work towards reducing the environmental impact of textile waste while promoting sustainable economic growth and social well-being.

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Sustainability, Post – consumer waste, Accessories, Home décor, Entrepreneurship.

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This paper offers a thorough comparison of machine learning algorithms for congestion detection in Flying Ad Hoc Networks (FANETs). The study seeks to pinpoint the most effective algorithm in terms of accuracy, efficiency, and applicability within the dynamic environment of FANETs. Prominent algorithms - Support Vector Machines (SVM), Random Forest, Neural Networks, and k-nearest neighbours (k-NN) are meticulously evaluated using a FANETs-specific benchmark dataset. The research navigates the unique challenges of congestion in FANETs, selecting algorithms tailored to their potential efficacy in this distinctive context. The methodology involves standardized performance metrics, including accuracy, precision, recall, and F1 score. Mathematical formulations of each algorithm and experimental results are presented concisely. Discussions highlight variations in accuracy, offering insights into algorithm suitability for FANETs congestion detection. The comparative analysis considers algorithmic strengths, weaknesses, and computational efficiency, supported by visual representations. This study provides valuable guidance for selecting machine learning algorithms aptly suited to address congestion challenges in FANETs.

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FANET, Congestion detection, ML Algorithms, accuracy, F1 score

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