With the advent and proliferation of Artificial Intelligence & Machine Learning (AIML) techniques into various fields of science, there have been efforts to accelerate the process of designing, developing & manufacturing new materials thus saving on time & cost. Additionally, the image analysis methods in AIML can help in capturing the nuances of the processing thus enabling the researchers to interface Processing – Structure – Properties of the materials’ systems. The authors have developed an integrated tool, AMDAD, with graphical user interface (GUI) which has all the machine learning operations in one platform starting from data collection, data pre-processing, model fitting, optimization to reading the microstructures.