Radar-Based Activity Monitoring AI Model Development

Gold Sentinel is seeking to enhance its radar sensor technology by developing AI models capable of accurately monitoring and interpreting human activities. The project aims to leverage radar sensors to detect and classify various human movements and activities in real-time. This initiative will allow learners to apply their knowledge of AI, machine learning, and signal processing to a practical scenario. The primary goal is to create a robust AI model that can differentiate between different activities such as walking, running, sitting, and standing. The project will focus on optimizing the model for accuracy and efficiency, ensuring it can be implemented in real-world applications. Learners will work on data preprocessing, feature extraction, model training, and validation, using datasets provided by Gold Sentinel.

Hands-On Electrical Engineering Intern – Bringing LiDAR, Sensors & Jetson Together

Telebotics is developing a Level 1 autonomy kit for micro-mobility vehicles, focusing on enhancing safety and efficiency in campus environments. The project involves designing and assembling a wiring harness that connects sensors, compute units (NVIDIA Jetson), and actuators (steering, brake, throttle) for a prototype vehicle. The goal is to ensure robust signal and power connections, facilitating safe remote operation and emergency braking. Learners will apply their electrical engineering knowledge to address challenges in signal integrity and power distribution, working closely with simulated product and software team inputs. This project provides a practical opportunity to integrate classroom learning with real-world applications in autonomous vehicle technology.