CO emission of cars

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  features of our Machine Learning model part 1

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  features of our Machine Learning model part 2

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  submit

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  prediction of CO emission

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  accuracy of our model

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  web app home page

The main aim of this project to predict CO emission from the given data which is related to car models and their CO emission. In order to predict CO emission, we need 13 features for more details to run our project. This project will help us to reduce CO level or to control CO level in our atmosphere. As this Machine Learning model predicts CO emission from the component of the engine, transmission, transmission type, fuel, etc. By using this model we can predict CO emission in an earlier stage of car development with 90% accuracy on unseen data. This model will help car manufacture to gain information regarding their car without running several tests which will reduce the cost of designing as well as R&D. This web application can be also used by National Govt. to make sure no car manufacturer is using an engine with a high level of CO emission. Govt. can use this application to predict the CO emission of different cars and after that, they can cross-check this by surprise inspection.

Built With

• bootstrap
• cloud
• css3
• flask
• gcp
• html5
• numpy
• pandas
• python
• sklearn