Green Chemistry and Artificial Intelligence: Pioneering Sustainable Solutions for a Cleaner Future

Green chemistry aims to reduce environmental impact by decreasing waste, replacing toxic substances, and improving the efficiency of energy. This review paper discusses the twelve principles and applications of green chemistry. Different techniques were used in which organic solvents were replaced with greener solvents. The E-factor calculates the waste generated by different industrial sectors. E-factor is used to identify whether the process is greener or not. Sustainable development and waste management are the basis of green chemistry. Green catalysts, green solvents, and green technologies are overlooking the toxic organic solvents and time-consuming techniques. However, traditional research methods are often slow and costly, so artificial intelligence (AI) and Machine Learning (ML) are introduced in the field of green chemistry, which makes it easier to predict outcomes, improves the reaction process, and takes less time for the reaction.