Analysis of industrial, medical and smart city image data applying different algorithms of Artificial Intelligence/Deep Learning are the main topics of the project. The main goals are to design prediction models and develop commercial software for machine automation to predict diseases and detect activities by analyzing real image data collected from the hospitals, smart city and industries. The students should have strong motivation to work with the team of medical Doctors and Industry people in the English speaking environment. They should be well motivated for self-learning. Basic programming skill in Python in Ubuntu platform, knowledge about image processing methods and basic concepts of AI/Deep Learning will be a plus. Upon completion of TEEP, students are expected to join as Master/PhD students with full scholarship to continue the research and implementation works in these areas. Initial training will be given to the fresher on AI/Deep Learning algorithms, basic understanding, processing and analysis of image data.