Repository navigation
[Backend] ML-assisted content moderation queue #402
Description
Overview
Scale content moderation with ML pre-screening: submissions are scored for policy violations, high-risk items go to a human queue, and moderator decisions feed back to improve the model.
Acceptance Criteria
- ML pre-screening scores submissions for policy risk
- High-risk items routed to a human review queue
- Moderator decisions recorded and fed back for retraining
- Moderation actions (approve/reject/flag) enforced downstream
- Appeal flow for rejected content
Files to Modify
backend/src/services/moderation/— scoring and queuebackend/src/workers/moderationJob.ts— async scoringfrontend/src/app/admin/content/moderation/— review UIbackend/src/routes/moderation.ts— endpoints
Activity
[-][Frontend] Add unit tests for Credential components[/-][+][Backend] ML-assisted content moderation queue[/+]iyanumajekodunmi756 commentedon Aug 19, 2026
I would love to work on this issue
grantfox-oss commentedon Aug 19, 2026
🦊 GrantFox — @iyanumajekodunmi756 has been assigned to this issue as part of the Third Campaign campaign!
Next steps:
Closes #402)Good luck! Track your progress on GrantFox.
grantfox-oss commentedon Aug 25, 2026
🎉 This issue has been marked as completed on GrantFox as part of the Third Campaign campaign!
@iyanumajekodunmi756's PR #449 was approved and merged by @Penielka.
🏆 @iyanumajekodunmi756: You earned 40 FoxPoints for this contribution! Your current tier: Builder (1,940 total points). Track your full progress on GrantFox.
👏 Great work, @iyanumajekodunmi756! Keep contributing to AetherEdu.
feat: implement ML-assisted content moderation system