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Depression is a common disease occurring in every human at least once in his or her lifetime. Patients were analyzed based upon their text information, audio, video and image (IOT-based data) recording. The most effective techniques available in the deep learning models are being obtained and combined together to form the hybrid fusion model that how various types of fusion techniques. The fusion-based deep learning (FBDL) model was found to have a more accurate result along with the early fusion techniques, which also provided a good result. This technique is also being used in various IoT-based data applications to detect the depression of a person based upon their messages. The prevention of depression can be done using robotics which contains FBDL models. Several robots were used in the form of social animals or humanoids to minimize the effect of depression in elderly people. Thus deep …