Volume 12 | Issue 4 |

 Abstract

This research paper explores the potential of artificial intelligence (AI) and data science in transforming the Indian sports and games industry. It delves into the various applications of these technologies across different domains, including player performance analysis, team strategy and tactics, fan engagement, talent identification, broadcast optimization, and more. The paper highlights successful case studies and examples from the global sports industry, showcasing how AI and data science are being leveraged to enhance decision-making, improve athlete performance, and enrich the fan experience. The target audience for this research paper includes sports organizations, coaches, athletes, and industry stakeholders who can benefit from the insights and strategies presented. By reading this paper, the readers will gain a comprehensive understanding of how AI and data science can be leveraged to drive innovation, improve performance, and enhance the overall sports ecosystem in India. The paper also identifies the specific barriers and obstacles that are preventing the Indian sports industry from more widely adopting and incorporating AI systems and solutions, and proposes a set of strategic steps that can be taken to engage AI more effectively. The paper's findings and recommendations can have a significant impact on the mindset and decision-making of the Indian sports industry. It aims to inspire sports organizations to embrace the transformative potential of AI and data science, and to take proactive steps towards building the necessary infrastructure, talent, and culture to unlock the full benefits of these technologies. By implementing the proposed strategies, the Indian sports industry can position itself as a global leader in the application of AI and data-driven solutions, ultimately elevating the country's standing in the global sports landscape.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Data Science, Sports Industry, Performance Analysis, Fan Engagement, Talent Identification, Broadcast Optimization, Transformation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This paper introduces a privacy control model to optimize cloud storage. The main goal is to provide data security, confidentiality, integrity and availability to cloud service providers at a low cost, while ensuring that users trust them. To achieve this goal, a clear security strategy to protect data during storage and transmission in the cloud is aimed. This framework aims to keep costs low while maintaining data security and accuracy. The solution compresses high-resolution images and reduces storage size by 60%. The device is divided into blocks, and the blocks are encrypted using the owner's private key, providing two layers of security. Only users authorized to access the file can decode it and restore it to its original format. Create a signature to verify the authenticity of the information. If an unauthorized user tries to update the data, the audit process can identify the relevant data. Using asymmetric keys, when users send data to the cloud, a digital signature will be created using the user's private key. Using the design, you can not only reduce the costs associated with data storage, thanks to the effective data compression process, but also effectively demonstrate the importance of protecting personal information during the data access process. The result of the experiment is that the proposed method has better performance than the existing method in all aspects. Optimized storage and privacy management standards can be used to ensure secure storage and sharing of data in a shared cloud environment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Privacy control model, Cloud storage optimization, Security strategy, Digital signature

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This is a Web based Blog application to help people write their idea and share it to the world. It provides resources to read and write idea through the world. The aim of this project to create and design a blogging platform using new technology called MERN Stack technology such as: MongoDB, Express JS framework, ReactJS library, and NodeJS platform. The basic blog application consists of several tools and methodology to provide different services like post like, comment and Share. Sign In/Login methods are used to differentiate one user from other, creating dashboard for the list of posted blogs using MERN Stack.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MERN Stack, Blog Application

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tourism app is an android based project which helps the travelers to predict or estimate the approximate cost of travelling as well as searching to the tourist place. Our tourism app revolutionizes the way travelers plan their road map by introducing a powerful and user-friendly tool for estimating travel costs. By simply inputting their vehicle details, users can access precise and personalized calculations for the estimated cost of traveling via roads. This app combines convenience and accuracy to enhance the overall travel experience, empowering users to make informed decision about their journeys and budgets. Whether it's a weekend getaway or an extended adventure, our app ensures that travelers can hit the road with confidence, knowing they have a reliable cost estimation tool at their fingertips.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Popular Attraction, Nearby Facilities, Local Custom, Travel tips, Reliable, and Cost Estimate.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper introduces "Cropify," an innovative agricultural technology that combines artificial intelligence (AI) and advanced image analysis for accurate crop yield prediction. The system analyzes crop health, identifies diseases, and offers personalized recommendations to optimize agricultural yield. This paper presents the development, methodology, and real-world application of Cropify, showcasing its potential to revolutionize traditional farming practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Randonforest, Front end, SVM, Precision agriculture, Crop yield prediction, Artificial Intelligence (AI), Machine learning algorithms, Image analysis, Disease identification, Personalized recommendations, Soil information, Climate information, Data preprocessing, Feature engineering, Model training, Environmental conservation, Pesticide reduction, Sustainable agriculture

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Glaucoma stands as a leading cause of irreversible blindness among individuals aged 40 and above. In Colombia, the prevalence of this disease is notably high, exacerbated by a shortage of ophthalmologists relative to the population's needs. Fundus imaging emerges as the primary screening method for glaucoma due to its favorable balance of portability, size, and affordability. This paper introduces a computational tool designed for automated glaucoma detection. We showcase enhancements in disc segmentation compared to existing literature, introduce a novel cup segmentation method employing thresholding, and propose a fresh metric assessing the ratio between cup and disc sizes. Our results stem from analyzing a collection of fundus images in partnership with the Center of Prevention and Attention of Glaucoma in Bucaramanga, Colombia, achieving an 88.5% success rate in glaucoma detection.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

glaucoma detection, disc segmentation, veins segmentation, image processing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays, it is difficult to search for artists to showcase their art globally, so this ArtSync: Web Application for Artists and Art-enthusiasts is developed to provide a simple and efficient way for artists to upload their art. So ArtSync is a full stack website, which revolutionizes the way of showcasing the art globally. According to our research, artists frequently avoid exhibiting their work in well-known virtual art galleries for two reasons: first, finding suitable art curators can be expensive; second, appropriate art curators are difficult to find. Our study intends to build support for giving artists' works value by creating an artist-friendly website where artists can sell their creations without the help of art curators. The website provides a user friendly and flexible environment on smartphones or on desktops. An artist being registered in the web site has the facility to use the services. Artists can upload their art, price and sell. Clients will be able to transact through the connected payment gateway, browse through a variety of art genres, and safely make purchases. Personalized dashboards for consumers will improve their entire experience by giving a centralized spot to track purchases, view transaction history, and manage interactions with artists. The goal of this project is to bridge the gap between artists and art fans by providing a seamless and secure digital platform. The data of the consumer will be saved for the next transaction also. These features help to build a user-friendly Online Art gallery.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Art, Artist, E commerce, Gallery, Online Shopping

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper represents our project that works on the principle of soldering pad using image processing techniques

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Soldering Pad ,Image Processing, CNN

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the interest in Machine Learning and AI continues to grow, we can expect to see new technologies hitting the market, influencing our daily lives. One such technology gaining traction is Virtual Assistant Bots, also known as Chatbots. These Chatbots have evolved from simple menu or button-based interfaces to keyword-based, and now to more advanced contextual-based systems. Among these advancements, the contextual-based Chatbots stand out as the most sophisticated, using techniques from Machine Learning and Artificial Intelligence to learn and respond more effectively to user queries in specific domains. The idea behind our project is to develop a medical chatbot capable of diagnosing diseases and providing basic information about them before users seek professional medical advice. This could potentially help in cutting down healthcare costs and making medical knowledge more accessible through the use of such chatbots. Chatbots are essentially computer programs designed to converse with users using natural language. In our project, we are focusing on providing people with quick and accurate predictions of diseases based on their symptoms. To achieve this, we are utilizing the Decision Tree algorithm for disease prediction. The integration of Chatbots in healthcare has the potential to greatly impact the industry by offering predictive diagnoses and improving accessibility to medical information.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Disease Prediction, Machine Learning Algorithm, Decision Tree Algorithm, Chatbot.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper is all about The Role of Self Perception On Psychology well being of Minority groups (Adults). Self-perception is the process of observing and interpreting one's own behaviors, thoughts, and feelings, and using those observations and interpretations to define oneself.. Self-perception is especially important if we choose to use it as a way to understand mental health challenges. Through this paper we aim to find how self perception relates with the psychological well being of minority groups. The method used here to check the relationship between self Perception and psychological well being is Correlation method because this method helps in measuring two variables and assessing the relationship between them, with no manipulation of an independent variable. At the end, the results suggest the relationship between Self perception and psychological well being that minority groups (adults) undergo. I hope you have enjoyed this opportunity to reflect on how you perceive yourself. There is nothing that we necessarily need to change in our self-perceptions. Just becoming more aware of our patterns - so that we might be able to question them at key moments - can unlock self-growth. Please be gentle with yourself if you notice that you have patterns of unrealistic or unduly negative self-perceptions - these are things all humans do, and simply noticing them may help you naturally change your self-perception over time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self perception and psychological well being

  License

Creative Commons Attribution 4.0 and The Open Definition