CompletedPythonFastAPINext.js+5 more
Galeech API
Serverless profanity detection API powered by machine learning for real-time content moderation.
Timeline
1-2 Days
Role
Full Stack Developer
Team
Solo
Status
CompletedTechnology Stack
Python
FastAPI
Next.js
TensorFlow
Cloudflare
Vercel
Serverless
REST API
Key Challenges
- Real-time Text Processing
- Model Optimization
- Serverless Deployment
- Latency Reduction
Key Learnings
- ML Model Integration
- Serverless Architecture
- API Optimization
- Content Moderation Systems
Overview
The Profanity Detection API is a scalable SaaS-based content moderation system designed to detect and filter inappropriate language in real-time. Built using FastAPI and powered by TensorFlow, the API enables developers to integrate profanity detection seamlessly into their applications.
Deployed on a serverless architecture using Cloudflare and Vercel, the system ensures low latency, high availability, and global scalability.
Key Features
Core Functionalities
- Profanity Detection: Identify offensive or inappropriate words in text
- Text Classification: Categorize content based on severity levels
- Real-time Processing: Fast response times for live applications
- Custom Word Filtering: Extendable profanity word lists
- Batch Processing: Analyze multiple text inputs in a single request
- Confidence Scores: Get probability scores for predictions
- Language Support: Basic multi-language detection (extendable)
API Endpoints
Core Endpoints
// Health check
GET /health - Check API status
// Main detection endpoint
POST / - Analyze text for profanity