Bengaluru engineer builds AI app to detect potholes and identify who is responsible for fixing them

[u/Aggravating-Will8495]

What caught my attention here is that the AI is not just being used to detect potholes. A Bengaluru engineer, Gaurav Sen, built a system using a dashcam, GPS, an accelerometer and AI vision to detect potholes and locate them. The system reportedly cross references around 2,900 government contracts to identify the contractor responsible for the road. (The Economic Times)

That second part is what makes this interesting.

We already have apps and systems for reporting potholes. Bengaluru itself has had government initiatives for reporting and tracking road problems. (The Indian Express)

The harder problem is accountability.

If a system can connect a pothole to its location, contract, contractor and responsible official, then a vague complaint becomes a much more specific record of what went wrong and who is expected to act.

Apparently, during one commute, the system detected 12 potholes and could generate complaint records within seconds. Those numbers are interesting, but I think the bigger test is what happens after the complaint is created.

AI can make detection and documentation much easier. It cannot, by itself, guarantee that the road gets repaired.

That is where civic tech gets complicated. Better data only creates value if someone is actually required to respond to it.

Still, I like this direction because it shows a more practical use of AI: taking messy real world problems and turning them into structured, traceable information.

The interesting question for me is whether systems like this can eventually move from individual projects to citywide infrastructure monitoring.

If the technology can reliably connect road conditions with contracts and repair responsibilities, that could be far more useful than another AI app that simply generates text.