900 images in 40 seconds
Fayaz Ahmed’s image classifier: OCR reads each image, Jev sorts it.
Fayaz Ahmed built himself an image classifier. OCR turns each image into text, and Jev picks its category. It sorted about 900 images in 40 seconds.
Fayaz Ahmed’s image classifier: OCR reads each image, Jev sorts it.
Fayaz Ahmed built himself an image classifier. OCR turns each image into text, and Jev picks its category. It sorted about 900 images in 40 seconds.
### Jev only answers yes/no or pick-one. 16,000 calls: against gpt-5.4-mini and gpt-5.6-luna on four public datasets, then on a few thousand real pipeline decisions. Where it…
ResourceTriage & routing
Jev was the tipping point - I built the last MySQL search statement - WPS ... # Jev was the tipping point - I built the last MySQL search statement ... So I built AILIKE. It lets…
ResourceTriage & routing
What we're really tackling is this: How can AI truly assess a resume without falling into the trap of just echoing buzzwords? How do we know the candidate isn't just sprinkling…
ResourceTriage & routing
Geopolitical dashboard that batches Jev 1.13.0 headline-severity and topic classifications, validates the answers, and falls back when classification fails.
GitHubTriage & routing
Made myself a little image classifier with OCR + Jev It was able to categorise ~900 images in 40 seconds Pretty cool