Astha Shrestha

Role of Artificial Intelligence in Education Abstract Artificial Intelligence (AI) transforms education by offering personalized, accessible, and efficient learning solutions. This report explores key applications, including Intelligent Tutoring Systems (ITS), AI-powered chatbots, and automated grading, which enhance learning outcomes and reduce administrative burdens. Case studies from countries like Singapore and South Korea illustrate AI's global impact. However, ethical concerns, privacy risks, and high implementation costs persist. Addressing these issues is essential to fully realize AI's potential in creating an inclusive, innovative, and future-ready educational ecosystem. 1. Introduction Education, a cornerstone of societal progress, faces challenges such as limited access, outdated teaching methods, and resource shortages. Artificial Intelligence (AI), defined as machines' simulation of human intelligence, offers transformative solutions. By leveraging technologie...

  The Role of AI and ML in the Banking Sector The advent of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized the banking sector, driving efficiency, enhancing security, and enabling innovative customer-centric solutions. These technologies are not just tools but transformative forces shaping the future of financial services, offering unprecedented opportunities for operational excellence and customer satisfaction. Executive Summary AI and ML are pivotal in modernizing the banking sector, offering benefits ranging from enhanced fraud detection and operational efficiency to improved customer service and investment management. This report explores their applications, benefits, challenges, and future trends while providing actionable recommendations for financial institutions to thrive in a competitive, technology-driven landscape. Applications of AI and ML in Banking Fraud Detection and Risk Management ● Real-time Analysis : AI-powered systems analyze vast tra...

  The Role of Artificial Intelligence and Machine Learning in Healthcare Abstract Artificial Intelligence (AI) and Machine Learning (ML) are reshaping healthcare by enhancing diagnostic accuracy, personalizing treatments, and optimizing operations. This report examines their applications, challenges, and future potential, emphasizing Explainable AI (EXAI) for ethical and transparent implementations. A critical analysis of competing technologies, cost-benefit trade-offs, and technical considerations is included, supported by rigorous citations. 1. Introduction The integration of AI and ML into healthcare represents a transformative shift from manual, intuition-driven practices to data-driven decision-making. AI, encompassing systems that mimic human intelligence, and ML, enabling systems to learn from data, are core technologies in Healthcare 4.0, a paradigm that leverages big data, IoT, and smart systems. The progression toward Healthcare 5.0 builds on this foundation, emphasizing ...