EasyVisa explores how supervised machine learning can support high-stakes, regulated decision processes such as employment-based visa certification. Framed through decision theory and cost-sensitive learning, the project emphasizes imbalance-aware evaluation, reproducible pipelines, and human-in-the-loop governance. Rather than automating outcomes, the approach delivers probabilistic decision support that improves scalability, consistency, and transparency while preserving ac