Chatbots can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile apps or through the telephone by using artificial intelligence (AI) software. There are three types of chatbots, simple Chatbot, smart Chatbot and hybrid Chatbot are the three types of chatbots. Simple chatbots are usually task-specific and having limited capabilities. Simple chatbots pose questions supported by predetermined options and therefore the customer can choose between the choices until they get answers to their query. The chatbot won't get any idea from its previous interactions.

Deep Learning models have made incredible progress in discriminative tasks. This has been fueled by the advancement of deep network architectures, powerful computation, and access to big data. Having a large dataset is crucial for the performance of the deep learning model. Thus with data augmentation we can improve the performance of the model with the data we already have. Data augmentation is a strategy that enables practitioners to significantly increase the diversity of data available for training models, without actually collecting new data. Data augmentation techniques such as cropping, padding, and horizontal flipping are commonly used to train large neural networks.

In recent years, AR (Augmented Reality) technology has attracted extensive attention from researchers. Driven by computer vision and artificial intelligence technology, AR technology has shown a strong momentum of development. Both the display equipment performance, tracking registration accuracy and the nature of human-computer interaction have been greatly improved. However, it can be seen that there are still many problems to be solved in augmented reality technology. In the case of tracking registration technology, the current tracking registration technology can only make use of a small amount of information in the scene, such as feature point information, which leads to an incomplete understanding of the system to the environment.

  Introduction Software testing is a phase of the Software Development Life Cycle (SDLC) and it is a process used to identify the precision, integrity and quality of developed computer software service/ product. It is a systematic process carried out with the aim of identifying mistakes or bugs in code so that it could be …