Proposed a paper which presents an automatic road sign detection and recognition system based on deep learning using convolutional neural networks (CNNs) with EfficientDet to assist visually impaired people.
Our team, focusing in KRTMI division, developed both an automatic and semi-automatic robot designed specifically to segregate five types of waste. As a programmer for our second robot, I gained extensive hands-on experience with STM32 microcontrollers, ROS Noetic, robot kinematics, PID control, and more.
Scevent Nalarfest was a national research paper competition (KTI) with a theme about "Innovation Towards a Sustainable Future to Achieve Golden Indonesia 2045". My team proposed an idea for automatic trash segregation based on Arduino Uno