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Daily Archives: December 23, 2024

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Design and Development of Exam Kit for Children with Dysgraphia Disorder

Design and Development of Exam Kit for Children with Dysgraphia Disorder/strong>
Authors:-Pavana A, Rakshitha G A, Sahana Shirishail Patil, Nagesh P, Dr. Jenitta J

Abstract- Children with Dysgraphia, a learning disorder that affects handwriting and fine motor skills, face significant barriers to academic progress and confidence building. This project introduces a novel. By integrating a Raspberry Pi with Optical Character Recognition (OCR) and advanced machine learning algorithms, the system provides precise, real-time feedback on let- ter formation, spacing, and stroke direction. The kit incorporates an intuitive interface, supported by a TFT display, QPC 1010 camera, and peripheral devices, ensuring accessibility and ease of use.To enhance engagement, gamified learning elements are in- tegrated, fostering an enjoyable and motivational environment for skill development. The system seeks to increase self-confidence, enhance motor coordination, and improve handwriting accuracy. By establishing a connection between technology and education. This project provides a portable and scalable solution for schooling that enables kids with dysgraphia to overcome obstacles and succeed academically.

DOI: 10.61137/ijsret.vol.10.issue6.395

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Developing a Web Application for Financial Statement Analysis: A User-Centric Approach

Developing a Web Application for Financial Statement Analysis: A User-Centric Approach/strong>
Authors:-Assistant Professor Md. Alim Khan, Mimansha Pranjal, Md. Ahbab Khan, Sudhakar Singh, Achint Raghuwanshi

Abstract- This application is designed to streamline the analysis of financial statements by allowing users to easily upload company data for comprehensive evaluation. By leveraging advanced algorithms, the application conducts thorough ratio analysis and trend analysis, converting raw financial data into meaningful visual insights, including graphs, pie charts, and heatmaps. These visual representations enhance the understanding of a company’s financial health, revealing trends and performance metrics over time. In addition to historical analysis, the application incorporates sophisticated predictive analytics to forecast the company’s financial performance over the next five years. This feature enables stakeholders to make informed strategic decisions based on projected outcomes. By integrating historical data analysis with predictive modeling, this tool empowers investors, financial analysts, and business managers to identify potential risks and uncover growth opportunities. Ultimately, the application enhances financial decision-making capabilities, providing users with a robust framework for evaluating company performance and making strategic investments. With its user-friendly interface and powerful analytical features, this application is poised to revolutionize how financial data is interpreted and utilized.

DOI: 10.61137/ijsret.vol.10.issue6.394

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Development of an AI-Powered Chess Engine Using Minimax Algorithm and Genetic Algorithm for Evaluation Function

Development of an AI-Powered Chess Engine Using Minimax Algorithm and Genetic Algorithm for Evaluation Function/strong>
Authors:-Rishi Kiran Karnatakam, Kalyani Gullaeni, Sai Tarun Siri Vadlakonda

Abstract- This project demonstrates a high level processing chess engine employing the Minimax algorithm along alpha-beta pruning, one more added feature used is a genetic algorithm which proves useful to make decisions and performance higher. While the Minimax algorithm is a cornerstone of game theory, which helps one to discover best moves and counter-moves in order not to lose in games like chess, with Alpha-beta pruning you can limit the number of nodes that are evaluated and hence restrict computational power needed without loosing optimality. Our evaluation function rates board states, based on which we use a genetic algorithm to fine-tune it. The optimal criteria are formed by the selection and combination of those evaluation functions over generations, while the genetic algorithm evolves a population of candidate solutions. This continuous refinement allows the evaluation function to improve as it gives a better result. While playing, the engine uses the so-called Minimax algorithm with alpha-beta pruning to look ahead and move sequences up to a certain depth for better decision-making. We tackle both tactical and strategic parts of chess in our implementation, showing strong play against humans. The project has had an analysis, which shows that the move selection and game outcomes are superior to conventional Minimax-based engines. This breakthrough in the class of Minimax algorithms achieves higher intelligence levels in computer chess, drastically changing gameplay for both fun and competitive purposes.

DOI: 10.61137/ijsret.vol.10.issue6.393

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Optimizing Information Management, Security, and Analysis with Database Technologies

Optimizing Information Management, Security, and Analysis with Database Technologies/strong>
Authors:-Greeshma Muraly

Abstract- Database technology has been a central focus for organizations and businesses involved in managing information. As the amount and complexity of data continue to increase, efficient data management has become more critical. This paper examines the wide-ranging uses of database systems across different sectors. It starts with an overview of both relational and non-relational databases, then explores their applications in areas such as enterprise management, retail, education, and government/public services. In enterprise management, databases ensure data is timely, accurate, and reliable, forming the foundation for effective information handling. In retail, they support inventory management, sales analysis, and improve customer interactions. In education, databases help manage student records, support teaching insights, and contribute to online learning platforms. For government and public services, databases enhance information sharing, promote transparency, and are essential for crisis management and emergency response. This paper highlights the diverse and crucial roles of database systems while also addressing current research trends and future advancements in the field.

DOI: 10.61137/ijsret.vol.10.issue6.392

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