Project Altair

ROS2 Package for simulating and executing square spiral search pattern to find points of interests, for URC Autonomous stack

Python code to track any aruco tag with tracking message output

Run remote terminal over LoRa

This project utilizes Support Vector Machines (SVM) to classify rock images from Mars into categories such as Basalt, Coal, Granite, Limestone, Marble, Quartzite, and Sandstone. The SVM algorithm is trained on preprocessed image data, enabling accurate prediction of rock types. Technologies: Python, NumPy, Pandas, scikit-learn, SVM, Pickle.

Programs for testing different hardwares (ie. motor driver, esc, servo, reciever, MCU etc.)