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Clean Green: Pollution Evaluator

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Document pages: 7 pages

Abstract: Google street view images are used to check the green view index of different localities audio sensors are used for noise pollution detection and plot it on google map so that people can navigate the less noise pollution route. Use of google hybrid map coordinates to find the green areas like parks, gardens to check the greenery content in particular area and how much trees should be planted to reach threshold value. There is a common platform where the photos of nearby areas automatically clicked by users phones to find the greenery content in that region using image processing. Crowd sourcing is involve so that people can share there pollution related problems along with photos, GPS location and representation of pollution in different localities through bar chart using that photos. Google maps are used to represent the nearby chemical producing industries and garbage dumps. Information is extracted from people reviews and posts using NLP to get the information about pollution in different areas and locate it on the maps. Google earth images are used along with segmentation algorithm to show content of roads, building, greenery in that area.

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