This is
David's Portfolio.

- Collected data from 5 instruments: IMU, Ultrasonic, LiDAR, Infrared Camera, and Temperature/Humidity sensors
- Robotic Swarming with Tello Drones and SpyderBot
- Programmed Hexapod to avoid objects by using ultrasonic sensor distance measurements
Used: Raspberry Pi 4, Python, Sockets, Packet Sender, MatPlotLib, Arduino

- Pre-processed and augmented images to triple our dataset size
- Trained TensorFlow efficientdet_lite2 tflite model over 100 Epochs
- Detected Objects with the on-board SpyderBot Camera

Used: Python, Google Colab, TensorFlow Lite, Roboflow Custom Dataset

- Built a robot with a team of Mechanical, Electrical, and Computer Engineers.
- Robot assembly included the tools, frame, hull, actuators, PCB Board, electronics, soldering equipment

Used: Arduino, Jetson Nano, Python, ROS, Computer Vision

- Trained an ANN Structure that consisted of three layers: 286 inputs, 100 hidden neurons, and 10 outputs
- Achieved an accuracy of 0.79

Used: Python, Kaggle, Machine Learning, and a dataset of over 200,000 samples

- Achieved an accuracy for each model of 94%
- Main factor that helps students with scores was based on their lunch program

Used: Google Colab, Python, OneHotEncoding, K-Neighbors Classifier, Logistic Regression, and Seaborn

- Utilized GitBook to create and host my tutorials on customizable websites linked together
- My tutorials cover a wide range of topics including:
psychology, financial tips, and cooking

Used: GitBook, Various online learning resources