Machine learning has transformed the technological landscape, enabling systems to learn from data, identify patterns, and make decisions with minimal human intervention. Into this transformative era of machine learning steps in ZKML (Zero-Knowledge Machine Learning), a pioneering concept that marries the privacy-preserving concept of zero-knowledge proofs with the data-driven insights of machine learning. This synergy enables the creation of models that can analyze and learn from encrypted data without ever accessing the raw data itself, like it is done on traditional machine learning models.