Project information

• Category: Machine Learning & Image Processing
• Programming Ecosystem: Python (TensorFlow/Keras, Sklearn, Seaborn, Matplotlib, NumPy, OpenCV, imutils)
• Project date: Spring 2022
• Project URL: GitHub

• Designed and trained a 98% accurate Convolutional Neural Network (CNN) using TensorFlow/Keras to recognize alphanumeric characters from a diverse dataset
• Utilized OpenCV and NumPy for image preprocessing, extracting letters for CNN input
• Produced sophisticated data visualizations with Seaborn, Matplotlib, and OpenCV to effectively illustrate data and various outputs