Charts are commonly used to understand data in digital documents such as websites, digital papers. It also helps to understand relationship between parts of data. But it is hard to understand for blind people because charts rely on visuals only. This paper gives you accessibility to understand pie charts for blind people. Given a 2D-chart bitmap image as an input, it separates only pie charts images by applying a deep learning-based object detection model. Then it extracts the underlaying data using different Computer vision techniques (like OCR, Circle detection, Color detection, pixel detection) to extract data from a chart image and use this information to a chatbot who can answer the blind people’s questions. There are challenges i.e., text written in pie chart is hard to read and obstacle for extracting data in percentage. In order to complete this, we are purposing pixel-based solution to overcome these problems.