Vol. 5 No. 18 (2019) · Articles

AI ENBALED PERSONAL ASSISTANT SYSTEM USING IBM WATSON

V.Ramya
Department of Computer Science KGiSL Institute of Technology, IN

Dr.G.Vjaya
Department of Computer Science KGiSL Institute of Technology, IN

Keywords: AI, MACHINE LEARNING, DEEP LEARNING, FEATURE EXTRACTION, PATTERN RECOGNITION,IBM WATSON

Abstract

Personal Digital Assistant (PDA) i.e. a handheld device
interacting with human beings verbally and performing tasks that
are usually performed by an assistant, has been a growing and
continuously evolving technology in recent years. Technology is
rapidly automating all the manual work. In such scenario, the
concept of PDA where everyone can carry their very own assistant
in their pockets and can use it anytime and anywhere without even
having to reach their pockets (i.e. completely hands-free usage)
proves out to be a great success for technological world. There is no
doubt about the fact that PDAs are the future of technology as all
the major tech giants like Google, Microsoft, Apple etc. are keen on
building and developing their own PDA. Thus, this advancement,
demands for a reliable verbal authentication measure where a user
can authenticate himself just by talking to the system. Moreover,
this conversation should be such that, no intruder or attacker must
be allowed to bypass the system even if he listens to the
conversation that took place between the user and the PDA. This
paper focuses on the security mechanisms that can be used to
develop a base for verbal authentication and how it can be used as
a powerful tool for validating login for device.

References

NA