Machine Learning on Arduino Platform
Use of ESP Machine Learning software to recognize different gestures using data sent from sensors connected to the Arduino.
About Me
I am an all-round software developer with research interests in the Internet of things and embedded system applications. Areas of experience include but are not limited to: - C / C++ Application development, - Microcontroller firmware development, - Python-based desktop and serverside applications, - ARM CORTEX M-family Programming (C / C++ ), - Arduino and Arduino compatible systems firmware development, - Raspberry Pi and other Linux based microcomputers, - Linux based scripting and automation, - Python-based web application development (Django, Flask) - Robotics applications (ROS) - PCB/PCBA Design and Assembly, Component sourcing and manufacturing.