
Case Study
Overview
ImageScanner is an application that allows users to upload images and uses TensorFlow to detect and highlight objects, persons, and animals in the image. The app provides an easy-to-use interface to quickly identify elements in an image.
Ownership
Built the upload-and-detect pipeline end-to-end, integrating a pretrained TensorFlow model into a web UI.
Constraints
Inference needed to stay responsive in-browser without a heavy backend service.
Key Decisions
Used a pretrained TensorFlow model instead of training a custom one, prioritizing a working end-to-end detection experience over model tuning.
Impact
Live at image-scanner.johnmichealacera.com as a working browser-based object-detection demo.
Built By
John Micheal Acera
Fullstack Engineer