ElevAI Twin – AI-Powered Elevator

Inspiration

Elevators are critical to modern buildings, but many still rely on reactive maintenance. We were inspired by the need to identify component problems before breakdowns happen and help building owners make smarter modernization decisions.

What it does

ElevAI Twin creates a digital twin of an elevator and monitors key components such as the motor, ropes, brakes, doors, controller, and VFD. It uses AI/ML to predict failures, estimate Remaining Useful Life (RUL), identify risks, and recommend whether to Repair, Upgrade, or Replace.

How we built it

We designed a digital-twin-based architecture that combines IoT sensor data, maintenance history, and fault logs. Python and AI/ML models are used for data processing, health prediction, failure-risk analysis, and RUL estimation. A dashboard presents component health, risk levels, predictions, and modernization recommendations.

Challenges we ran into

The biggest challenge was the limited availability of real-world elevator sensor and maintenance data. Data can also be incomplete or inconsistent, making prediction difficult. We addressed this by combining multiple data sources and designing the system to support future real-world data integration.

Accomplishments that we're proud of

We built a complete concept that connects monitoring, prediction, and decision-making in one platform. We are especially proud of the digital twin approach and the ability to turn AI predictions into practical Repair, Upgrade, or Replace recommendations.

What we learned

We learned how IoT, Digital Twins, AI/ML, predictive maintenance, and data visualization can work together to solve real-world engineering problems. We also gained experience in designing explainable and decision-oriented AI systems.

What's next for ElevAI Twin – AI-Powered Elevator Modernization Decision Platform

Next, we plan to integrate real-time elevator sensor hardware, train models using larger real-world datasets, improve RUL prediction accuracy, and add fleet-level monitoring. We also aim to develop cost and energy analysis to make modernization decisions even smarter.

Built With

• ai
• cloud-computing
• data-visualization
• digital-twin
• explainable-ai
• framer-motion
• iot
• javascript
• lucide-react
• machine-learning
• predictive-analytics
• predictive-maintenance
• python
• react
• recharts
• responsive
• tailwind-css
• typescript
• vite