An Approach of Renewable Energy Based on Machine Learning

Abstract

Renewable energy comes from natural resources that replenish more quickly than they are used up. Compared with burning fossil fuels, producing renewable energy produces a lot fewer emissions. The key to solving the climate catastrophe is shifting away from fossil fuels, which presently provide the majority of emissions, and toward renewable energy. The facility has global impact and recent computer vision based on machine learning creates the business opportunity within all countries and regions globally. So there should be a communication between all countries and regions to exchange information between different global languages. In this study, an analytical survey was done to create the communication between countries and regions. For this purpose, different languages and datasets of the languages are studied where OCR-based character recognition can be done.