Dual Power Supply with Real Time GPS Tracking for Vehicular Application Using Machine Learning Algorithm

With the help of a dual power source, we demonstrate in this research an effective system that allows electric vehicles to go great distances. It has two sets of two batteries. One will be used to run the motor, while the other can be recharged by utilising an operational solar panel. An Arduino may be used to automatically manage the charging system. In order to identify the fall or accident of a car, we have integrated the Google Tensor Flow machine learning approach into the Arduino Nano 33 BLE sensing Board. In that case, it will notify the owner of the vehicle's current location. To track the current location, we used an ESP8266 and GPS. The GPS and the Arduino Nano 33 BLE sensing board with ESP8266 are embedded.