โRalph is professional, skilled, and creative. His structured approach to our project starting from the current state, user personas, and challenges provided a great foundation for the design and resulted in a successful projectโ
I hit $10K in earnings a few days ago and received so many messages asking what I did differently.
honestly, the only thing that really helped me was stopping the overthinking.I stopped thinking about all the possibilities. Stopped thinking about when it would happen. Stopped...
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.