Laravel in Practice: Implementing Image‑by‑Image Search with Hash Comparison

This session will demonstrate, in a hands‑on Laravel style, how to implement image‑by‑image search using “image hash comparison.” The content covers handling image upload and storage in Laravel, using perceptual hashing (aHash / pHash) to compute image features, storing hash values in the database, and finding similar images by calculating Hamming distance. The talk will also discuss the advantages and limitations of this approach, and how it can be extended into a more complete image‑search system, making it suitable for PHP developers familiar with Laravel who want to learn practical real‑world usage.