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As part of the software team, I am responsible for writing object detection algorihtms, image processing and movements according to image data and managing the image process in the software part, for the our unmanned underwater vehicle. Leading Software Team image processing part.Underwater wehicle movement according to processed image data. General code desing and refactoring. Using AI and ML algorithms to improve efficiency of image process.

Intership project is developing a robot arm controlling by potentiometers and connects to server using ESP32:Digital Twin : Main objective creating a dijital twin of like an industrial robot arm. This concept allows for the creation of a digital representation of a physical device, enables to analyze its behavior. Added an record play feature that records the movement of arm and plays it like an industrial robot arm. Sends data to SQLite database to save data comes from potentiometers to use machine learning algorithms after.MQTT Internet Connection: ESP32 establish an MQTT (Message Queuing Telemetry Transport) internet connection to send and receive data from a distant server. It allows us to monitoring features about servos ,potentiometers and this server connections provide us to control arm from distant server. RUL (Remaining Useful Life) : Using data in server, RUL can be calculated.Predictive Maintenance: In conjunction with RUL prediction, machine learning offers predictive maintenance. This feature helps identify maintenance requirements in advance, preventing unexpected device failures and streamlining maintenance processes.This project holds significant applications in various industries, particularly within industrial production. It allows for the precise recording of the robot arm's movements, which can be replayed as needed. Additionally, remote control and monitoring capabilities make it possible to operate the robot in hazardous or hard-to-reach environments.Engaging in this project provides hands-on experience with cutting-edge technologies such as robotics, data communication, motion control, digital twins, the Internet of Things (IoT), and predictive maintenance.