How I Deployed My AI/ML Portfolio in Under 5 Minutes Using Kuberns AI

A developer's honest experience with one-click AI deployment A bit about me I'm Ananya — an Applied AI Engineer focused on Computer Vision, ML Pipelines, and Intelligent Automation. I spend most of my time building end-to-end AI systems: training CNN models, building CV pipelines with OpenCV and TensorFlow, and packaging everything with Docker. What I'm not great at? Deployment infrastructure. DNS configs, server setup, build pipelines — it's a whole other job. So for a long time, my projects lived on GitHub and nowhere else. That changed when I entered the Kuberns AI Portfolio Hackathon 2026 . The Problem: Great Projects, No Live URL I had built real AI systems: EcoStream AI — environmental intelligence system analyzing real-time AQI data Automated OMR Evaluation — computer vision pipeline for automated exam scoring Face Mask Detection — real-time CNN-based safety monitoring system Foodoscope — deep learning food image classifier Financial Chatbot — NLP-powered finance assistant All o