Smart Content Moderator API

A FastAPI backend for AI-powered text and image content moderation, with Slack/Email notifications and analytics.

Features

• Text & Image Moderation: Detects inappropriate content (toxic, spam, harassment, safe) using AI.
• Notifications: Sends alerts via Slack and email when inappropriate content is detected.
• Analytics: Tracks moderation requests and provides summaries.
• Async Backend: Built with FastAPI and async/await patterns for high performance.
• Database: SQLite-based storage with SQLAlchemy ORM.

Technologies

• Backend Framework: FastAPI
• Database: SQLite with SQLAlchemy Async ORM
• Notifications: Slack Webhooks, BrevoMail/Sendinblue API
• AI/LLM Integration: Mocked OpenAI API (GPT-4/Gemini ready)
• Python Version: 3.11+

Setup Instructions

1. Clone the repository

git clone https://github.com/varunmali/Smart-Content-Moderator-API
cd Smart-Content-Moderator-API

2. Create and activate virtual environment

python -m venv venv
# Windows
.\venv\Scripts\activate
# macOS/Linux
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Configure environment variables Create a .env file in the project root:

DATABASE_URL=sqlite+aiosqlite:///./moderator.db
OPENAI_API_KEY=mock-key
SLACK_WEBHOOK_URL=https://hooks.slack.com/services/XXX/YYY/ZZZ
EMAIL_API_KEY=your_email_api_key_here
EMAIL_SENDER=no-reply@yourdomain.com

5.Run the server

uvicorn app.main:app --reload