AI-Powered Cloud Platforms for Universal Education

Authors

  • Rahul Vadisetty Electrical Engineering wayne state university Detroit, MI, USA rahulvy91@gmail.com Author

Keywords:

Artificial Intelligence (AI), Cloud Computing, Adaptive Learning Systems, Personalized Education, Plastic Recycling, Environmental Sustainability

Abstract

The rapid advancement of artificial intelligence (AI) and cloud computing has opened new avenues 
for enhancing educational systems and addressing environmental challenges. This paper explores 
the dual impact of AI-enhanced cloud solutions on transformative education and sustainable plastic 
recycling networks. The study demonstrates how AI-driven adaptive learning systems improve 
student outcomes by personalizing educational experiences, and how AI-powered recycling 
technologies optimize waste management processes and reduce environmental impact. By 
analyzing cognitive skill improvements in students and evaluating the accuracy of plastic waste 
sorting, the research highlights significant advancements in both fields. The findings underscore 
the potential of integrating AI with cloud computing to foster more effective and sustainable 
practices, offering a unified approach to advancing education and environmental stewardship. The 
results advocate for broader adoption of these technologies, providing a roadmap for future 
developments in both educational and recycling systems

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Published

2023-08-02

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