Seybold Report ISSN: 1533-9211
B.L. Malleswari
Principal & Professor, Department of Electronics and Communication Engineering,
Sridevi Women’s Engineering College, Hyderabad, India, blmalleswari@gmail.com
E.Krishnaveni
U.G Student,Department of Electronics and Communication Engineering, Sridevi Women’s Engineering College, Hyderabad, India
D.Rajasree
U.G Student,Department of Electronics and Communication Engineering, Sridevi Women’s Engineering College, Hyderabad, India
K.Vasavi
U.G Student,Department of Electronics and Communication Engineering, Sridevi Women’s Engineering College, Hyderabad, India
Vol 17, No 07 ( 2022 ) | DOI: 10.5281/zenodo.6876151 | Licensing: CC 4.0 | Pg no: 70-80 | Published on: 25-07-2022
Abstract
This project paintings goal to accumulate a Personal Assistant via way of means of the usage of Raspberry Pi as a processing chip and underlying architecture. It 6emphasizes the substitution of screen-primarily based totally interplay via way of means of utilizing ambient technologies, Robotics and IoT, the way the consumer interface is incorporated with the bodily gadget. It accommodates of components, for example, IR sensors, Pi camera, Mic and Motor Driver. Furthermore, it is a voice managed Personal Assistant whose actions can be managed through voice instructions, and it has the potential to peruse the content material from snapshots after which articulate the equal to the patron via way of means of utilizing the built-in speaker. Furthermore, it can assist the outwardly disabled to connect to the arena via way of means of giving them to get admission to informative reassess like Wikipedia, Calculator, and so forth via way of means of the usage of their voice because the command.
Keywords:
IoT, Raspberry pi, virtual Assistant, OCR (Optical Character Recognition), Voice controlled.