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This project identifies the number and type of vehicles from a real-time video feed and then estimates the vehicular pollution levels using the data collected. I have just posted the initial work here, the project is currently in development.

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You can find the implementation in the jupyter notebook here: https://github.com/vkasojhaa/Pollution-Prediction-Tensorflow/blob/master/object_detection/pollution_prediction.ipynb

The project is based on Tensorflow Object Detection API: https://github.com/tensorflow/models/tree/master/research/object_detection
For installation refer to: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md

If you have any queries or suggestions you can mail me: vkasojhaa@gmail.com

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Used Tensorflow Object Detection API to detect different vehicles in a picture and predict pollution levels.

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