With rapid advancements in technology, in recent times we have witnessed tremendous strides taken in camera and imaging sciences. Digital processing has also added to exceptional details in photography. The advancements in imaging have created a gap between capturing a moment centered around aesthetics and random captures without meaning. In this work, we aim to provide to users an insightful feedback on the aesthetics of the images captured. The feedback concentrates on the rule of thirds, high dynamic range, color, content and various quality aspects for each image captured. To achieve this, we propose a hierarchical real time image aesthetic score prediction technique. We use a modified YOLO-CNN and Mobilenet for object detection and style prediction, followed by a multi-threaded aesthetic predictor to analyze and score the images on portable devices.