From Jupyter to Cloud: How a Student Built a Production-Ready AI Weather Platform

This project illustrates a critical lesson in AI engineering: model training is merely the foundation, not the destination. By documenting the complete journey from development to deployment, it demonstrates the full-stack competencies—API design with FastAPI, cloud infrastructure, and frontend integration—that employers now expect beyond traditional ML coursework. The emphasis on accessibility and usability reflects a growing industry trend where machine learning professionals must also think as product builders to create real impact.