Volume 12 | Issue 4 |

 Abstract

This project report delves into the pivotal role of Small Finance Banks (SFBs) in advancing microfinance initiatives, with a focus on the context of Godhra City. Microfinance has emerged as a powerful tool for poverty alleviation and financial inclusion, particularly in regions where traditional banking services are scarce or inaccessible. Through an extensive literature review, this report examines the theoretical underpinnings and practical implications of microfinance interventions facilitated by SFBs. The study employs a mixed-methods approach, combining quantitative analysis of financial data with qualitative insights gathered through interviews and surveys. By scrutinizing the operations, outreach strategies, and impact assessment mechanisms of SFBs operating in Godhra City, the report aims to offer a comprehensive understanding of their contribution to microfinance penetration and socio-economic development.

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 Keywords

Microfinance SFB Financial Development

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 Abstract

The landscape of video game development has been continuously evolving, with the advent of powerful hardware and sophisticated software tools enabling increasingly immersive and visually stunning gaming experiences. First, it delves into the importance of realism and immersion in modern 3D games, highlighting advancements in graphics rendering, physics simulations, and artificial intelligence. It discusses the integration of ray tracing technology and machine learning algorithms to create more realistic lighting, physics, and character behavior. Second, the abstract explores the impact of virtual reality (VR) and augmented reality (AR) on the gaming industry. It discusses the growth of esports and the need for robust network infrastructures to support large-scale, real-time games. Key Features of this game are Entertainment: Creating an engaging and immersive gaming experience for players to enjoy and have fun, Challenge: Providing players with challenging puzzles, obstacles, or opponents to test their skills and keep them engaged, Exploration: Allowing players to explore virtual worlds, discover new places, and interact.

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 Keywords

3D Game Development, Games, mobile game developer, game development courses, mobile game development, game design, game maker.

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Frequent pattern mining is widely used in many real-world applications. The mining of common patterns from accurate data has drawn the attention of numerous scholars since its introduction. The mining of unclear data has received more attention in the last few years. Every transaction involving this uncertain data often has items associated with existential probabilities that indicate the likelihood that these articles will be present at the time of the transaction. Because of the existential probability, there is a much larger area available for the search and solution of uncertain data as compared to precise data extraction. The popular MapReduce and Apriori algorithms serve as the foundation for the models that are offered. The proposed algorithms are divided into three main types. The goal of two Apriori MapReduce and AprioriMR techniques is to accurately identify patterns in large datasets. These algorithms retrieve any available data item, regardless of how frequently it occurs. Put tape on the antimonotonic feature of the search space. AprioriMR and top AprioriMR, two more space trimming techniques, are presented with the aim of finding any shared data patterns. maximum number of frequent patterns. We also live in the Big Data era. Moreover, we propose certain enhancements to further boost its efficiency. The MapReduce for Big Data Analytics method is effective at extracting common patterns from undefined data, as demonstrated by experimental results.

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 Keywords

Parallel Frequent Pattern Growth (PFPG), MapReduce (MR); Hadoop Archives (HAR); Sequential Pattern Mining (SPM).

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The Indian scenario of the banking industry has a robust network of public and private sector banks that continue to work seamlessly reinforcing the Indian economy. The operational scope and targets of the public sector and private sector differ to a great extent even though they work together under several governmental schemes. While the greatest objective of public sector banks is social welfare, private sector banks are more target-oriented focusing on profitability. The study attempts to derive a comparison between the financial performance of the public and private sectors concerning internal and external factors that influence the overall performance of the banking industry. This study might prove helpful in reinforcing the central policies and identifying factors that are adversely affecting performance so that banks can equip themselves in a better way to counteract any financial shocks that may occur in the future. The goal of this research was to examine the financial performance of a few public and private sector banks from 2017 to 2021. The study concluded that both public sector banks and private sector banks need to focus on decreasing their non-performing assets as they seriously dent the profitability of banks by affecting its revenue. Banks need to work from the perspective of improving revenue and also cutting expenses if they wish to reinforce their banking performance.

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 Keywords

Financial Performance, Financial Analysis, Public Banks, Private Banks

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The dynamic and complex field where the protection of invention and the encouragement of market competition meet is known as the intersection of intellectual property (IP) and competition law. An overview of the theoretical underpinnings, research approaches, and current concerns pertaining to the interaction between intellectual property and competition law is given in this abstract. Drawing from a wide array of scholarly sources, such as legal studies, economic evaluations, and empirical investigations, the abstract emphasises the intricacies involved in striking a balance between the demands of competition enforcement and innovation incentives. Theoretical underpinnings of intellectual property and competition law, the effect of IP rights on market dynamics, limitations placed on IP holders by competition law, and new issues in the digital economy are some of the major topics covered.

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 Keywords

Intellectual Property , Competition Law, market, law

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This study aims to explore the influence on social media marketing for the revenue growth of online small enterprises, given the importance of social media and the dearth of knowledge in this field. We offer a research model that examines the effects of social media advertising methods (i.e., message material and format) on the consumer participation, brand awareness, and online small business sales performance. This model is based on the theories of media richness, uses, and gratifications. It is anticipated that brand recognition and customer engagement will moderate the relationships between messaging tactics and the success of online small company sales. To validate our model, we will collect data from various social media platform in India. This study is expected to contribute to research and practice on social media marketing to attract customers to brands of small companies.

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 Keywords

Social media marketing, attract customers, brands, small companies

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With more than 300 million members, Twitter is a well-known online social networking platform where a tonne of information is shared daily. The most significant element of Twitter is its ability for users to tweet about events, situations, feelings, opinions, or even something new in real time. Since there is no framework in place to guarantee veracity or reliability, anyone can say whatever they want. This kind of Twitter war could be an easy way to attack your opponents and allow them to attack you in return. This survey covered a number of machine learning and hate speech identification apps that help identify sarcasm and shame tweets. With the rise of public shaming events and online social network expansion, it is necessary to evaluate shaming tweets, divide them into different categories, and restrict them in order to stop them.

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 Keywords

Naive Bayes(NB);Application programming interface(API);Online social networks (OSNs); K-nearest neighbours (KNN);Random forest(RF).

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The human face is a crucial component in determining the behavior and mood of a single organ. Sorting through a music collection by hand and building a playlist according to distinct emotional qualities is a laborious process. Various methods have been proposed and put into practice for playlist construction that is automated. Nevertheless, current methods are less precise, compute more slowly, and may even call for additional hardware like sensors or EEG. The proposed method, which is based on facial expression extraction, minimizes the time and work required to manually produce the process by creating a playlist. Along with system-to-person questions like "how did you go?" the system will also suggest songs based on their lyrics. As a consequence, the recommended method is able to increase the overall accuracy of the systems while minimizing the total cost and computation time required to get the results. Facial expressions are captured using an integrated camera. Determines how well computers are in identifying emotions in real-time photos. Incorporate a collaborative filter, content-based recommendation, sentiment-based music, share workload between high-end servers and mobile low-end devices, and promote user-specific data in order to alleviate overloaded problems.

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Gaussian Mixture Model (GMM) ; k-Nearest Neighbors (KNN); Convolution Neural Networks (CNN)

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The genre of gender studies in literature and visual media started as a means for the emancipation of women and later on it moved as a means for the portrayal of various gender diversities and sexuality too In the greatest Hindu epic Mahabharata, King Drupada, desiring an heir, sought Lord Shiva's blessing and was told a girl would be born to him, destined to become a man. Sikhandi, raised as a boy, was to marry the daughter of King Hiranyavarman. Upon realizing Sikhandi's true gender, tensions rose, leading to the threat of war. To prove Shikhandi's manhood, a yaksha named Stunakarna helped by temporarily exchanging sexes. Sikhandi, now a man, alleviated the conflict between the kings, ensuring peace and acceptance of his identity. The book Palace of Illusion by Chitra Banerjee Divakaruni is an adaptation of Mahabhara; the character Sikandi is portrayed as a queer character, representing the inner feelings of someone from the trans community. Chitra Banerjee uses some metaphorical matters to convey the feeling of a person with gender diversity. This paper examines how Sikandi is characterised with different traits in both these texts, and where does the queer aspect lie in these texts.

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 Keywords

Gender diversity, Sexuality, Trans community

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Creative Commons Attribution 4.0 and The Open Definition

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"Agri Connect," a pioneering digital tool in Malayalam, revolutionizes Kerala's agricultural landscape by offering farmers an array of specialized resources and utilities. Rooted in Malayalam, this app serves as a versatile farming companion, amalgamating advanced functionalities to optimize agricultural methodologies and streamline farming workflows. At its core, "AgriConnect" encompasses an expansive repository of crop-specific guides presented in Malayalam. These guides are a treasure trove of insights, seasonal recommendations, and effective pest management strategies. Alongside this knowledge repository lies an interactive marketplace designed for Malayalam-speaking farmers, facilitating seamless procurement of agricultural supplies and direct selling of fresh produce to consumers through an intuitive interface. Embedded within "Agri-Connect" is a robust supply chain tracking system that ensures transparency and reliability. This system meticulously traces the journey of agricultural products from farms to markets, fostering consumer trust. Additionally, leveraging cutting-edge algorithms, the app anticipates and alerts farmers about potential crop diseases, providing actionable insights communicated in their vernacular language. Moreover, "Agri-Connect" integrates intelligent tools for fertilizer recommendations, aiding farmers in choosing optimal fertilizers based on soil types and crop varieties. All features and functionalities are eticulously crafted in comprehensible Malayalam, enhancing accessibility and usability. "Agri-Connect" emerges as a pivotal digital platform, bridging technological advancements with agricultural practices in Kerala. It champions efficiency, sustainability, and prosperity within the region's vibrant agricultural sector, empowering farmers with knowledge and tools necessary for growth and success.

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 Keywords

CNN- CONVOLUTION NEURAL NETWORK

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