Visual difference engine

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  Architecture Flowchart

We built a Visual Difference Engine to spot even small changes between images, useful for design checks, quality testing, or detecting tampering. It compares images pixel by pixel and highlights the differences for clear visual output. Key challenges included handling image noise, varying sizes and formats, and maintaining accuracy. Through this project, we learned image processing techniques, OpenCV functions, and how to balance precision with performance under tight deadlines.

Built With

• ai/ml
• backend
• canva
• databases
• frontend