AI COE

Creating digital twins of cities to estimate energy consumption and pollution levels

In collaboration with Adani Group and Ernst & Young, alongside other entities, CDIS is spearheading this project to create digital twins of Tier 1 cities to monitor traffic, predict energy consumption, and estimate pollution levels using AI algorithms, facilitating efficient route planning, grievance filing, and strategic pollution reduction initiatives.

1. Uses AI algorithms to predict energy consumption with high accuracy (depending on the amount of recent data)

2. Allows user to file traffic grievances

3. Forecasts pollution levels and traffic conditions for any specific road in the region

The dashboard’s traffic visualization feature enables users to plan their routes more efficiently by choosing paths with less congestion. Predicting pollution levels helps authorities plan and implement strategies to reduce them in the short and long term.