Project Spam Detection #2854
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Project Spam Detection #2854
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DonnieBLT
requested changes
Nov 3, 2024
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@DonnieBLT @AtmegaBuzz @arkid15r Could you please review this PR. |
Add the tests for it. |
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@HanilJain please check slack. |
DonnieBLT
requested changes
Nov 11, 2024
| @@ -2207,3 +2208,19 @@ def get_context_data(self, **kwargs): | |||
| context["screenshots"] = IssueScreenshot.objects.filter(issue=self.object).all() | |||
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| return context | |||
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| class SpamDetection(View): | |||
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this can move over to issue.py now
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Issues Solved
#2223
#2224
#2225
#2226
#2227
#2228
#2229
Screen.Recording.2024-11-04.003208.mp4
We have trained an ML model using a publicly available spam dataset, which has been integrated within an API. This model predicts whether the description or title of an issue is spam or not. If flagged as spam, the issue is marked accordingly in the system and then proceeds to a human review layer for further validation.