I will create a content moderation system for your platform


About this gig
Build a Production-Ready AI Content Moderation System for Your Platform
I design and deploy AI-powered content moderation systems that automatically detect and filter harmful or policy-violating content at scale. Ideal for social platforms, communities, marketplaces, and SaaS products.
Perfect if you want:
- Custom models trained on your own data and policies.
- Multi-category detection (violence, adult, hate, spam, etc.).
- Image, video, and text analysis with real-time APIs.
- High accuracy with minimal false positives.
Whats Included:
- Requirement gathering & policy/label design.
- Custom-trained ML models (vision + NLP).
- Real-time moderation API and webhooks.
- Admin dashboard with audit trail & appeals.
- Metrics, reporting, and monitoring setup.
- Continuous model improvement & retraining guide.
- Integration support with your backend.
Why Me?
- Production systems moderating 1M+ items/day with 98%+ accuracy.
- Modern stack: Transformers, FastAPI/Node.js, AWS (Lambda, SageMaker, S3, DynamoDB/PostgreSQL).
- Clean architecture, documentation, and long-term scalability.
Get to know Kokila
CTO
- FromSri Lanka
- Member sinceDec 2025
Languages
English
FAQ
How accurate is the moderation system?
Typical accuracy is 95-99% depending on category. I minimize false positives to avoid annoying users with legitimate content.
Can it detect content in multiple languages?
Yes in Premium package. Supports 20+ languages for text and context-aware detection for images/videos.
How is it trained?
I use your labeled data (or provide samples to label). Models are trained specifically for your platform's content types.
Can moderators appeal or override decisions?
Yes. Complete appeals workflow included. Moderators can overturn decisions, and appeals feed back into model retraining.
What about privacy?
No data is stored after moderation. Processing is anonymous. Compliant with GDPR and data protection laws.
Can it handle video content?
Yes. Analyzes video frames, audio (speech-to-text), and metadata. Slower than images but comprehensive.
What if new types of bad content emerge?
System continuously learns. You can add new labeled examples, and I help retrain models monthly.

