Intelligent Virtual Laboratory Development and Implementation using the RASA Framework

Abstract

Virtual environments for learning with intelligent support are in high demand right now. This is due to the fact that smart e-learning environments must be built internally in order to increase students' hands-on abilities. Through inquiry and demonstration in a smart e-lab environment, these talents are linked to several disciplines of science and engineering. Students and instructors may make the transition from working in virtual environments to doing experiments using actual materials. Lab assistants often spend the bulk of their time making the same mistakes. As a result, this research looked at the technology, proposed approach, and implementation of an intelligent virtual C programming laboratory. This ensures that virtual assistants employ chatbots to fix student faults. The environment is based on his NLP (natural language processing) and machine learning models, with web application development using his MERN stack and virtual assistant production using the RASA, Artificial Intelligence (AI) framework.