Clone App Accuracy Assessment Project

The role of the classifier is to prove 50% accuracy given a screenshot sent to the telegram group is related to a betting parlay or not. The classifier can predict if the parlay is winning or won.

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Inspiration

Given that most betting platform parlay pages look similar or provide a similar user experience.

What it does

Classifier for if the screenshot is a betting platform/parlay or not.

How we built it

Azure custom vision classifier Nodejs telegraf Python3 Github copilot

Challenges we ran into

The image being predicted through telegram is not as accurate as the image sent directly to the quick test tool on the azure custom vision web app. Telegram might be reducing image dimension or quality.

Accomplishments that we're proud of

Now we learnt co pilot and azure custom vision workflow beginner level

What we learned

Learnt how to naturally function with copilot alongside

What's next for Clone App Accuracy Assessment Project

Will see.

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