AI, machine learning to be deployed in fight air, water, noise pollution in Delhi
The Delhi Pollution Control Committee (DPCC) is planning to use artificial intelligence (AI) and machine learning to optimise and extract relevant insights on air, water, and noise pollution using data from six of its existing portals, sources said.
'The idea is to help the committee interpret existing data, have the ability to compare datasets, and get predictive insights on the city's air, water and noise pollution levels, among other things,' said a highly placed source.
AI and machine learning will also be employed to create chatbots to guide and assist users on the DPCC's interactive platforms, including the Green Delhi app that allows users to lodge pollution-related complaints, the Dust Pollution Control Self Assessment portal that is used by construction agencies for self-assessment, and Online Consent Management and Monitoring System, used to seek various environment-related permissions.
Aside from these three, the other portals are run and operated by employees of the Delhi government's pollution watchdog: Continuous Emission Monitoring System, used to monitor real-time data from sewage treatment plants, Real Time Ambient Noise Monitoring Network; and Real Time Ambient Air Quality Data.
The DPCC had issued an expression of interest (EoI) in March for the project. The EoI document states that the committee 'intends to perform advanced predictive and prescriptive analytics using available data'.
The source said a firm has been selected for the project and that the finer details are being worked out.
'The company will make a software to integrate the six portals and also use it as an interface for data analytics,' the source added.
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