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Delhi is preparing to roll out an AI-based pollution control plan aimed at tackling its chronic air quality crisis. The initiative will integrate real-time data, predictive modelling, and automated enforcement to reduce emissions. Authorities hope this technology-driven approach will strengthen monitoring, improve accountability, and deliver cleaner air for millions of residents.
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Delhi’s AI-Based Pollution Plan on the Horizon
Delhi, often ranked among the world’s most polluted capitals, is now turning to artificial intelligence to combat its worsening air quality. Officials are drafting a comprehensive AI-powered blueprint that will combine predictive analytics, satellite monitoring, and automated enforcement to identify pollution hotspots and act swiftly.
Key Highlights:
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AI-driven monitoring systems to track emissions from industries, vehicles, and construction sites in real time.
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Predictive modelling tools to forecast pollution spikes and guide preventive measures.
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Automated enforcement mechanisms to flag violations and ensure compliance with air quality norms.
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Integration with existing infrastructure, including anti-smog guns, sprinklers, and sweepers, for coordinated action.
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Focus on accountability, with data transparency enabling stricter checks on polluting sectors.
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Public health priority, aiming to reduce respiratory illnesses and improve urban living conditions.
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This AI-based plan represents a significant shift towards technology-led governance in environmental management. If implemented effectively, it could serve as a model for other Indian cities grappling with pollution challenges.
Sources: The Times of India, Hindustan Times, CNBC TV18.
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