In modern times, face recognition is the key aspect of computer vision. There are at least two reasons for this trend the first is the commercial software, and the second is the availability of practical technologies after years of research. Due to the very nature of the problem, computer scientists, neuro-scientists, and psychologists all share a keen interest in this field. We proposed a system that is based on face detection and recognition algorithms, which automatically detects the student when he/she enters in the classroom and marks the attendance by recognizing him/her. This system is developed by capturing real-time human faces in the class. Finally, the absentee lists are displayed on android application for confirmation. This System can be used in Government Schools and Colleges to monitor and validate attendance.

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.