Build an AI Content Moderator

Build a complete AI-powered content moderation system that analyzes text and images for policy violations. Detect toxicity, NSFW content, PII, and custom rule violations with configurable policies, human review queues, and webhook integrations — all in 5 hands-on steps.

8
Lessons
💻
Full Working Code
🚀
Deployable Product
100%
Free

What You Will Build

A production-ready content moderation platform that automatically screens text and images, applies configurable policies, queues borderline content for human review, and sends webhook notifications.

💬

Text Moderation

Detect toxicity, hate speech, PII, and custom banned content using OpenAI Moderation API and custom rules.

📷

Image Moderation

NSFW detection, violence screening, and OCR-based text-in-image analysis using CLIP and Vision models.

📋

Policy Engine

Configurable rules with severity scoring, category-based thresholds, and automatic action mapping.

👥

Human Review

Queue flagged content for reviewer dashboard with approve/reject workflow and appeals handling.

Tech Stack

Built with production-grade tools. Total cost: $0 for development, under $10/month in production.

🐍

Python 3.11+

Core language for the moderation API, policy engine, and review queue backend.

FastAPI

Async web framework for the REST API, webhook endpoints, and reviewer dashboard.

🧠

OpenAI Moderation

Pre-trained toxicity and category detection with the free Moderation API endpoint.

📷

CLIP

OpenAI CLIP model for image classification, NSFW detection, and visual content analysis.

Build Steps

Follow these lessons in order. Each builds on the previous one.