Project Overview
An AI-powered system that enriches content with SEO-optimized keywords across multiple languages using OpenAI GPT models.
The Problem
Manual keyword insertion is time-consuming, inconsistent, and difficult to scale across large volumes of multilingual content.
The Solution
Built async backend services with OpenAI integration, automated retries, token budget enforcement, and language-aware keyword placement.
Architecture
- Async Flask / FastAPI services
- Centralized OpenAI API orchestration
- Resilient retry and failure handling
Key Challenges
- Managing OpenAI rate limits
- Maintaining content readability
- Scaling across multiple languages
Outcome
Significantly reduced manual SEO effort while enabling large-scale, automated keyword enrichment.