Air quality prediction is an important process that must be taken by the state authorities as the health of human is sincere concern. By measuring index of air, we can prevent humans from getting affected by various diseases. The diseases that effect the humans health are lungs cancer, brain disease and even a person may die because of this air quality index can be determined using machine learning algorithm. Although, different researches are happening on this issue but there are no accurate results and are not that successful. Kaggle dataset is being used in this project and this dataset is divided into training and testing. The algorithms used in this project are Linear Regression, Random Forest and C 4.5 Decision tree. Through this paper represents our hard work to help in managing this problem. By calculating air quality index we can enhance the situation. By this project, the main objective is to forecast the index value of air and let the people in the society know the amount of pollution that is present in the air. In this paper, it is shown that many machine learning algorithms are used based on comparative analysis.