Innovative Machine Learning Intern known for high productivity and efficient task completion. Possess deep understanding and skills in data analysis, algorithm development, and neural networks. Excel in problem-solving, teamwork, and adaptability, ensuring smooth collaboration and innovative solutions in machine learning projects.
Ceramic tiles defects detection
A Ceramic tiles defects detection project employing deep learning and convolutional neural networks (CNNs) focuses on automating the identification of flaws or imperfections in ceramic tiles. It utilizes computer vision techniques to process images of tiles, employing CNNs to learn and recognize defects, contributing to quality control in manufacturing, enhancing efficiency, and reducing human error in detecting ceramic tile anomalies.