Hey everyone!

I'm currently working on a project called VisionQC, an AI-based system to detect defects in industrial products, starting with bottles.

The project is still a work in progress . I'm not here to showcase a finished product or claim that I've built something revolutionary. I actually want to get feedback from people who've worked in computer vision, machine learning, or industrial quality inspection before I take the project any further.

A little about me

I have 3+ years of experience in software development, primarily in full-stack development, along with some experience integrating AI into applications.

I've also worked on big data projects, which gave me experience with Python and technologies like Kafka, Elasticsearch, Kibana, and other tools in that ecosystem.

I'm now pursuing my MSc in Artificial Intelligence and trying to get beyond simply integrating AI APIs into applications by understanding how ML models actually work, training them, evaluating them, and building projects from…