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Intelligent Virtual Laboratory Development and Implementation using the RASA Framework

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dc.contributor.author Bhatt, Upendra Mohan
dc.date.accessioned 2025-01-20T09:16:11Z
dc.date.available 2025-01-20T09:16:11Z
dc.date.issued 2023-04
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/10083701
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16829
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Artificial intelligence laboratory en_US
dc.subject Energy en_US
dc.subject Sustainable development en_US
dc.subject Chat using RASA en_US
dc.title Intelligent Virtual Laboratory Development and Implementation using the RASA Framework en_US
dc.type Article en_US


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