Shrinidhi M.

Shrinidhi M. is a graduate of KLE Technological University with a Bachelor of Engineering in Automation and Robotics, specializing in Computer Vision, Edge AI, and Machine Learning systems. He has contributed to the field through an R&D internship at Nex-G Automation LLP, where he developed and deployed AI-driven solutions for industrial automation and safety monitoring. His work included the implementation of an AI Anti-Forklift Collision Detection System utilizing YOLOv8 on the Radxa Rock 5C platform. He also engaged in projects like a Smart Broom Stick Sorting Unit, developing firmware for embedded systems, and an AI-Based Perimeter Monitoring System for intrusion detection and dynamic zone monitoring. Shrinidhi's technical skills are evident in his proficiency with programming languages such as Python and Embedded C, and his knowledge of simulation tools like Webots, Gazebo, and Roboflow further enriches his capabilities in developing context-aware safety systems and IoT-enabled applications.