INTELLIGENT CAR SEAT AND STEERING ADAPTING SYSTEM USING MACHINE LEARNING TECHNIQUES

Abstract

The proposed framework manages the plan made to defeat the wastage of time, mental worry by the
individual brought about in modifying the seat to suit the best solace of the individual by the standard
of computerization and AI methods. Rather than squeezing and holding the switches and switches for
a more drawn out time, the client can finish the undertaking in basic manner by simply entering their
stature and weight. In this robotized framework, in which the driver will have three modes as (Driver
mode, Rest mode and Live modes). In drive mode the predefined information will happens and the
seat will be balanced. In live mode the people stature and weight can be taken as info and dependent
on the information it will shows its yield. What's more, in the rest mode the seat back will slant at the
greatest edge enabling the driver to take rest. To improve the security framework the rest mode will
be happens just the vehicle is very still. The adage of the framework is to dispose of the means
associated with modifying the seat utilizing different catches and furthermore in directing to autoalter.