Personalized Learning through AI: Integrating NLP and Cloud Solutions for an Adaptive Education System

Abstract

In today's fast-paced teacher scene, customary examining and learning procedures fight to meet the demands of progressed instruction. Understudies and enthusiastic followers face challenges in comprehending, summarizing, and meddling with the unending whole of information in books. The proposed solution introduces a dynamic AI-driven platform that revolutionizes the learning and study experience. This paper proposes a SmartQA (Smart Question Answering) method to improve learning results and openness for clients with changing learning capacities by giving personalized instruction, intuitive learning apparatuses, and real-time summarization. Coordination machine learning techniques such as NaturalLanguage Processing (NLP) and Google Cloud organizations, as well as the suggested method SmartQA, ensure flexibility, strength, and advanced AI capabilities. In addition, the process contributes to teacher development by speaking to the potential of AI to grow customary learning strategies. Other than that, our viability course of action underscores our commitment to inclusivity, data-driven encounters, and developing a sense of community among clients. Through the suggested SmartQA method, this article focuses on creating a long-lasting journey for data and insights, broadcasting a present-day chapter inside the history of instruction.