SmartCity IoT
IoT sensor network with predictive analytics for urban infrastructure management.
30%
energy savings
90%
prediction accuracy
50K+
sensors deployed
$20M
infrastructure savings
The Challenge
The city needed to optimize energy consumption, predict infrastructure failures, and improve public services through real-time monitoring of thousands of sensors across the city.
Our Solution
We deployed an IoT network with 50,000+ sensors, built a predictive analytics engine using TensorFlow to forecast demand and failures, and created an interactive dashboard for city administrators.
"This smart city solution has saved us millions while improving citizen quality of life. It's a model we're replicating in other cities."
— City Mayor
Tech Stack
Timeline
10 months
Team Size
12 engineers
Client
City Government - Smart Infrastructure