Safe Content Manager: AI-Powered Image Moderation Platform

Overview

Safe Content Manager is an AI-driven image moderation platform designed to automatically detect unsafe or sensitive content. It provides a clean dashboard for uploading, analyzing, reviewing, and managing images to ensure platform safety and compliance. Built for reliability, accuracy, and seamless moderation workflows.

Features

• AI-powered image moderation using OpenAI Vision API
• Real-time content analysis
• Secure file uploads
• Moderation dashboard
• Flagged content management
• Risk scoring & detailed breakdown
• Clean and responsive UI
• Role-ready architecture for future expansion

Why I Built This

I wanted a fast and reliable way to moderate visual content using AI. This project solves the pain of manually checking images and simplifies large-scale moderation with automation.

Technical Stuff

Frontend

The frontend focuses on speed, accessibility, and clean UI:

• React.js + Next.js: Hybrid rendering + smooth navigation
• TypeScript: Strong typing for fewer runtime issues
• Tailwind CSS + Shadcn UI: Beautiful, consistent, scalable UI components
• React Query (optional): Smooth server state handling
• Dropzone + FileReader: For secure and user-friendly uploads

Backend

The backend is designed for reliable AI processing and safe media handling:

• Next.js API Routes: Serverless functions for moderation pipelines
• OpenAI API: For high-accuracy image safety analysis
• Edge-friendly functions: Fast and scalable
• Secure upload validations: MIME checks, size restrictions
• Structured response system: Severity, categories, flags

AI Moderation Flow

Image Intake & Validation

• User uploads an image
• File is validated (type, size, corruption check)
• Processed and sent to the OpenAI Vision API

Moderation Pipeline

• AI returns a breakdown of unsafe categories
• Each category is mapped to severity levels
• The system generates:
  • A global risk score
  • Category flags
  • Human-readable summary
  • Original AI metadata

Review Dashboard

• Images appear in an analytics-first dashboard
• Unsafe items are highlighted
• Users can filter, inspect, and manage content

Admin Dashboard Features

The project includes a clean internal dashboard:

• Upload new images
• View moderation results
• Inspect AI metadata
• Manage flagged content
• Sort/filter by severity score

Technical Challenges & Solutions

Challenge 1: Integrating AI Moderation Accurately

• Problem: Producing reliable, consistent safety scores
• Solution: Implemented normalized scoring + category mapping layer

Challenge 2: Handling Large Files Securely

• Problem: Users uploading heavy or unsafe files
• Solution: Added strict validation + memory-safe handling

Challenge 3: Fast Real-time Updates

• Problem: Displaying results instantly without lag
• Solution: Optimized fetch flows + lightweight state management

Performance Optimizations

• Edge functions for fast response times
• Image previews rendered client-side
• Reduced unnecessary re-renders
• Cached moderation lookups (optional)
• Lightweight UI components

Future Technical Improvements

• Add role-based access control
• Add history analytics with charts
• Support bulk image moderation
• Add queue-based job processing
• Connect to cloud storage (S3, Supabase Storage)
• Add text/OCR moderation
• Full audit-logging