Planet Earth is rapidly growing warmer, and scientists are looking for different ways to predict the tipping points in climate change. The phenomenon of climate change is chaotic. For years, researchers and scientists have looked for successful methods of batting global climate change but were unable to find a solution as effective as AI. The integration of AI-powered systems has given a chance to environmentalists to address key issues, including threats to sustainability, food and water shortages, loss of biodiversity, climate change, and other environmental problems. AI paired with data sciences and machine learning can help find rigorous patterns to reduce and eradicate carbon footprints.

The objective of this project is to solve one of the major problems faced by the people having word processing issues like trauma, or mild mental disability. "ARTH" is the short form of Algorithm for Reading Handily. ARTH is a self-learning set of algorithms that is an intelligent way of fulfilling the need for "reading and understanding the text effortlessly" which adjusts according to the needs of every user. The research project propagates in two steps. In the first step, the algorithm tries to identify the difficult words present in the text based on two features -- the number of syllables and usage frequency -- using a clustering algorithm. After the analysis of the clusters, the algorithm labels these clusters, according to their difficulty level. In the second step, the algorithm interacts with the user. It aims to test the user's comprehensibility of the text and his/her vocabulary level by taking an automatically generated quiz. The algorithm identifies the clusters which are difficult for the user, based on the result of the analysis. The meaning of perceived difficult words is displayed next to them. The technology "ARTH" focuses on the revival of the joy of reading among those people, who have a poor vocabulary or any word processing issues.