An efficient course recommendation system for higher education students using machine learning techniques Myla M. Arcinas, Meenakshi Meenakshi, Pranjali S. Bahalkar, Deepali Bhaturkar, Sachin Lalar, Kantilal Pitambar Rane, Shaifali Garg, Batyrkhan Omarov, Abhishek Raghuvanshi Bulletin of Electrical Engineering and Informatics, 2025 Education institutions and teachers are in desperate need of automated, non-intrusive means of getting student feedback that would allow them to better understand the learning cycle and assess the success of course design. Students would benefit from a framework that intelligently guides their actions and provides exercises or resources to support and enhance their learning. The recommender system framework is a software agent that learns the user's preferences through a variety of channels and then utilizes that knowledge to provide product suggestions. A recommendation engine considers all potential user interests as background information, uses that knowledge to produce convincing recommendations, and then returns those ideas to the user. This article presents a feature selection and machine learning based course recommendation system for higher education students. principal component analysis (PCA) algorithm is used for feature selection. AdaBoost, k nearest neighbour (KNN), and Naïve Bayes algorithms are used to classify and predict student data. It is found that the AdaBoost algorithm is having better accuracy and F1 score for course recommendation to students. PCA AdaBoost is achieving an accuracy of 99.5%.
Social and emotional learning in undergraduate teacher education programs P. Selvakumar, Shaifali Garg, Naresh Babu Karunakaran, P. C. Neena, Sandeep Gupta, T. C. Manjunath Supporting Cultural Differences Through Literacy Education, 2025 The importance of SEL in education can be traced to its profound impact on student outcomes. Research consistently shows that SEL contributes to improved academic performance, reduced behavioral issues, and enhanced mental health among students. Educators equipped with SEL skills can create supportive learning environments that promote student engagement and resilience. In teacher preparation, the integration of SEL involves both theoretical knowledge and practical application. Courses focused on SEL can equip aspiring teachers with strategies for fostering a positive classroom environment, teaching conflict resolution, and promoting inclusive practices that recognize the diverse backgrounds and experiences of their students. Moreover, the implementation of SEL in teacher education goes beyond individual courses; it requires a systemic approach that permeates all aspects of teacher training. This can include experiential learning opportunities, such as internships and practicums, where future teachers can practice SEL skills in real classroom settings.
AI-Driven Adaptive Learning Systems for Employee Development S. Surya, Yugandhara Patil, Shaifali Garg, Anjali Singh, Harpominder Jit, B. T. Geetha 2025 World Conference on Cutting Edge Science and Technology Wccest 2025, 2025 AI - Powered adaptive learning solutions are transforming employee training by offering personalized and data-centered experiences tailored to all learner's preferences and requirements. Unlike traditional training programs, these systems utilize AI and machine learning technologies to continuously track employees' activities, detect skill gaps, and provide real-time feedback- content adaptation. This approach is beneficial in reskilling-rich environments as it enhances engagement, retention, and overall learning efficacy. Additionally, AI can assess organizational objectives, key performance indicators, evolving roles, and forecast future training needs enabling companies to strategically position their employees for anticipated challenges. By blending behavioral analytics with recommendation engines and natural language processing, adaptive learning frameworks customize responsive and intuitive training presentations. These systems also reinforce return on investment from learning and development initiatives while fostering a culture of continuous improvement alongside teaching self-driven growth. Adaptive learning powered by ai is becoming increasingly important for businesses to build future-ready, digitally skilled and flexible teams as they undergo digital transformation. This study explores the core technologies, Implementing AI-driven adaptive learning systems offers several advantages, including personalized learning experiences tailored to individual student needs, improved engagement, and more efficient use of educational resources in corporate environments.
Future Trends in HRM: The Role of Artificial Intelligence and Automation in Shaping the Workplace Aneesya Panicker, Somanchi Hari Krishna, Shaifali Garg, Prasanta Chatterjee Biswas, Melanie Lourens, K. Siva Kumar 2025 International Conference on Pervasive Computational Technologies Icpct 2025, 2025 Artificial intelligence-based applications are integrated in the human resource management of firms for managing people within the region as well as international organisations. In the past years the growth of AI based applications proliferates the function of HR M that triggers to exciting new stream to study the effect of AI adoption on business level and individual outcomes. It evaluates the AI enabled HRM practises. The technology examines the firms with problem solving, decision making and utilisation of resources and opportunities for employees. The growing interest on AI based technologies for HRM for diffusion of innovation in large multinational enterprises. AI has the capability for reduction of administrative burden experienced by the HR Professional that allows them for precise decision making based on the data patterns. Adoption of artificial intelligence helps in effective employee management and decision making. So that employee of HR management can overcome the challenges. The study aims to analyse the future trends in HRM and the role of artificial intelligence and automation in shaping the workplace.
Personalized Banking Experiences Using AI Leveraging Data Science for Tailored Financial Services Saurabh Chandra, M. Venkatesh, Rashmita Singh, Shaifali Garg, Giri Babu K, Siva koteswararao Katta 2025 IEEE 4th World Conference on Applied Intelligence and Computing Aic 2025, 2025 AI and Data Science has reformed the Personalized Financial Services provided by Banking Sector. with sophisticated data analysis, shape customer familiarity by providing custom-built banking solutions. Through the analysis of large volumes of consumer data, artificial intelligence models can detect trends in consumer behavior, anticipate financial needs, and deliver personalized product recommendations. This paper describes how machine learning together with natural language processing and predictive analytics functions in personalization generation. The paper demonstrates personalization benefits which include satisfied customers who remain loyal while financial decisions achieve higher accuracy through impactful decisions. The paper investigates the future prospects of artificial intelligence in financial services and data privacy obstacles as well as ethical concerns in addition to categorizing modern banking practices.
Introduction to 5G new radio Shaifali Garg, Shashi Kant Gupta, A. Deivasree Anbu, Anchal Pathak Machine Learning for Mobile Communications, 2024 Wireless technologies have been growing rapidly in all corners of the world. Fifth-generation (5G) wireless technology has emerged as one of wireless research’s most exciting and challenging topics. As a multiservice network, 5G is expected to accommodate a broad variety of industries, each with its own set of performance and service needs. To meet the increased demand for mobile connections, 5G delivers new radio (NR) technology, and we review the essentials of future mobile communications regarding the introduction of 5G NR; we explain multiple-input/multiple-output antennas, radio access networks, and frequency bands. We also review the convergence of wireless communication, the supporting technological drivers, and spectra regarding the 5G NR environment to examine NR applications in 5G networks. We outline some of the most essential research areas in 5G NR in this chapter.
Revolutionizing supply chain management: A comprehensive review of AI and machine learning impacts Ananda Ravuri, Shaifali Garg, Abhishek Dondapati, Pradeep Sharma, P. C. D. Kalaivaani, Komal Saxena Utilization of AI Technology in Supply Chain Management, 2024 Supply chain management is integral to contemporary business operations, facilitating the flow of goods from suppliers to consumers. Technology has been pivotal in reshaping supply chain processes, transitioning from manual procedures to today's automated and interconnected systems. The emergence of AI and machine learning has further revolutionized supply chain management, providing advanced tools for optimization. This exploration commences with an introduction, followed by an examination of technology's role in enhancing efficiency, transparency, and customer-centric approaches.
Alternate Financing Strategies for Innovative Entrepreneurs – A Study on Indian Small and Medium Enterprises Rashmita Singh, Minakshi Tripathi, Shaifali Garg, Arun Mishra Alternative Finance A Framework for Innovative and Sustainable Business Models, 2024 Capital and finance are critical to the firms that aim to run and expand their business efficiently. The objective of this chapter is to study the alternate financing methods via a case-based study on Indian small and medium firms. In the capital shortage periods, Indian business owners in small and medium enterprises (SMEs) sector need to employ creative financing strategies to build a solid financial framework. The chapter attempts to examine and explain how Indian SMEs employ creative funding options for their firms. The effect of firms’ and owner’s characteristics on the selection of funding methods for SMEs is studied through multi-comparison analysis. The resultant implications of the study are discussed in the chapter which can help SMEs and entrepreneurs to understand the alternate financing methods, its challenges which in turn can enhance their performance through attaining sustainable achievement.
A Framework for Secure Healthcare System Using Blockchain and Smart Contracts Santosh T. Jagtap, Chetan M. Thakar, Ouail El imrani, Khongdet Phasinam, Shaifali Garg, Randy Joy Magno Ventayen Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems Icesc 2021, 2021
