No abstract

Modern developments in digital media technologies has made transmitting and storing large amounts of multi/rich media data (e.g. text, images, music, video and their combination) more feasible and affordable than ever before. However, the state of the art techniques to process, mining and manage those rich media are still in their infancy. Advances developments in multimedia acquisition and storage technology the rapid progress has led to the fast growing incredible amount of data stored in databases. Useful information to users can be revealed if these multimedia files are analyzed. Multimedia mining deals with the extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly stored in multimedia files. Also in retrieval, indexing and classification of multimedia data with efficient information fusion of the different modalities is essential for the system's overall performance. The purpose of this paper is to provide a systematic overview of multimedia mining. This article is also represents the issues in the application process component for multimedia mining followed by the multimedia mining models.

Now-a-days to do the day-today tasks like searching on Internet, finding an optimized results, getting the right product, getting a minimum cost of any product, one needs to search a lot which leads waste of time and frustration. Every time it is not possible to get result as per requirement. An artificial intelligent personal assistant is needed to increase efficiency of doing such tasks. This project proposes a bot on cross platform mobile applications using machine learning algorithms. The purpose of bot is to recognize text, voice, image input, doing data analysis on the same and providing optimized result.