Title: SmartAI Factory: AI-Powered Industrial Machine Monitoring

Factory downtime is expensive, and most teams only find out about a problem after a machine fails. For my Final Year Project, I built SmartAI Factory, a platform that lets teams see problems coming and fix them early.

It streams live temperature, vibration, and current data from industrial machines to a real-time dashboard that flags anomalies as they happen. An Autoformer-based AI model then forecasts machine behavior 15, 30, 45, and 60 minutes ahead, each with a confidence score.

What I built:

Live monitoring dashboard with anomaly-marked charts and status badges

AI forecasting across 4 time horizons

Secure device onboarding: unknown machines stay Pending until an admin approves them

Per-machine alert thresholds with in-app and email notifications

Role-based access, user management, and light/dark mode

My role: Full-stack development, UI/UX design, and AI model integration, end to end.

Result: A complete predictive-maintenance workflow, from onboarding a device to getting an alert, in one clean interface.

Open to freelance work on AI dashboards, IoT monitoring systems, and full-stack web apps. Let's talk.