The project aimed to build a real-time multilingual translation pipeline leveraging LLMOps principles. The architecture employed Kafka for distributed data streaming, Hugging Face models for high-quality translations, FastAPI for API management, and Prometheus/Grafana for real-time monitoring. The project addressed key challenges such as latency, scalability, and evolving language trends. I set out to integrate the above seven key components to create a seamless and lightning-fast data streaming experience.