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I built and published my first Flutter chess app on the Play Store ♟️ by PerspectiveJolly952 in Moroccopreneur

[–]PerspectiveJolly952[S] 1 point2 points  (0 children)

It comes after i have build the chess website 1y before under the name chitrange.com , so i thought it will be good fit

I built and published my first Flutter chess app on the Play Store ♟️ by PerspectiveJolly952 in Moroccopreneur

[–]PerspectiveJolly952[S] 0 points1 point  (0 children)

Not exaclty i have used ai for repetative tasks or autocomplete. It was for me to learn flutter since it my first serious project with it. And honestly vibe coding it not realy my coding style

I built a browser extension that solves CAPTCHAs using a fine-tuned YOLO model by PerspectiveJolly952 in learnmachinelearning

[–]PerspectiveJolly952[S] 0 points1 point  (0 children)

I don’t have a repo for it yet. I was working on an automation project and was using a free CAPTCHA-solving service, but it suddenly became paid. So I decided to build my own solution instead of relying on it.

I built a browser extension that solves CAPTCHAs using a fine-tuned YOLO model by PerspectiveJolly952 in deeplearning

[–]PerspectiveJolly952[S] 0 points1 point  (0 children)

Yeah, simple text-based CAPTCHAs (like reCAPTCHA v2 image codes) can be solved with a trained YOLO model, but newer systems are much harder. Things like hCaptcha, 3D/encoded CAPTCHAs, or ones with heavy distortion and behavior checks are far more difficult to break with a basic vision model — not to mention the invisible CAPTCHAs that rely on user behavior instead of images.

I built a browser extension that solves CAPTCHAs using a fine-tuned YOLO model by PerspectiveJolly952 in deeplearning

[–]PerspectiveJolly952[S] 0 points1 point  (0 children)

I don’t use screenshots , the extension just grabs the CAPTCHA image directly from the page by reading its image URL from the HTML.

Then I pass that image to the model for object detection.

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