To develop an AI-powered system for defect detection in the manufacturing process within an educational context.
To enhance the quality control process in educational manufacturing facilities through the implementation of machine learning algorithms.
To provide students with hands-on experience in developing AI solutions for real-world applications in the manufacturing industry.
Conduct a literature review on AI-powered defect detection systems in the manufacturing industry.
Collect and preprocess data on defects in a manufacturing process within an educational setting.
Develop and train machine learning models for defect detection using the collected data.
Implement the AI-powered system in a simulated manufacturing environment and evaluate its performance.
Document the development process, results, and challenges faced in implementing the AI solution for defect detection.
