A Machine Learning project to predict user interactions with social network ads using demographic data to optimize ad targeting

A Go-based ad targeting engine combining the power of Redis for ultra-fast hybrid caching and PostgreSQL for reliable persistence. Designed for efficiency and observability, it supports country/OS/app-specific campaign delivery, health checks, and Prometheus-style metrics—all containerized with Docker and Docker Compose