I'm currently pursuing a Computer Science Degree at Ontario Tech University
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This project is a graphical user interface (GUI) application that accesses your camera(s) and provides basic models for image processing, facial recognition, and object detection using YOLOv3. It is implemented in Python using the OpenCV and face_recognition libraries for processing images and recognizing faces, along with Tkinter for the GUI.
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Developed an HMI for a reflow oven, displaying sensor and thermistor values, utilizing PID control for temperature calibration, and implementing UART, SPI, and I2C for data transmission between STM32 and sensors.
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Designed an ESP32-based dashboard for a racing car to display real-time data from the car's ECU, including speed, battery temperature, and torque, with a web interface for remote access and monitoring.
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Developed a tracking system to keep the user centered in the frame by controlling a camera gimbal, using OpenCV for object detection and tracking, with servo control through UART communication with an ESP32.
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Trained a model to detect spam emails with a 98% accuracy rate using probability algorithms, and developed a web interface using REST API on a GlassFish server for practical application.