Predicting Co2 emission in vehicles

The project aims to predict the emission of CO2 from vehicles by building a model using Machine Learning.

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  • ( 88 )
  • guided-inn1
    8 Hrs
  • guided-inn1
    Intermediate
Project Description

The amount of CO2 emission from the transport sector (including cars) accounts for about 20% of total CO2 emissions. Accordingly, from the viewpoint of preventing global warming, reducing that proportion is a key issue. In regard to CO2 emissions from cars, fuel economy standards are getting tougher all over the world, so improving the fuel economy of cars is strongly desired. From now onwards, it is considered that the fuel economy of engines will be further improved by boosting engine efficiency and by hybridization (electrification) of cars. What’s more, improving fuel economy by improving “driving operation” (i.e. the operation in which a car is driven) and by smoothing traffic flows will come into the picture in the near future. Under these circumstances, with concern for the environment from the viewpoint of reducing CO2 and other exhaust emissions, the Hitachi Group is comprehensively promoting a broad range of technical developments for reducing CO2 emissions from cars.



Solution Requirement:


Significantly reducing CO2 emissions from cars will not be easy, but the available data can be used to extract the features, know the behavior of cars, and try to reduce the emissions. Machine Learning techniques can be used in this regard. 


Architecture:







Project Activities

Skills you will develop

  • Python For data Analysis
  • Python For data Visualization
  • Data Preprocessing Techniques
  • Machine Learning
  • Regression Algorithms
  • Regression Algorithms
  • Python-Flask

Mentor

Mahankali Surya Tej
Mahankali Surya Tej

ML Engineer

Mentor Rating star-fill4.8 / 5 (6)

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SYED RAZA

American University of Sharja, Sharja,UAE

It was a fruitful experience. A clear road map was provided to follow throughout the project along with an in-depth introduction of the packages required. The guided labs were extremely helpful and easy to follow.

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Harshitha Josyula

GITAM University,Hyderabad, India

The Guided Projects were not only based on solving real world problems but were also really informative, the smartinternz platform has each and every step in detail and even though if we were stuck at any point the Mentors would help us to resolve all our queries. overall it was a great experience.

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Anuraag Moharana

College of Engineering and Technology, Bhubaneswar, Odisha, India

I took Part of Aritificial Intelligence Guided Project from Smartinternz, it was a wonderful experience and highly motivating, It's a very innovative and smart platform for internships. It provides smarter ways of guiding and interacting with participants and educating through guided labs and projects. It really helped me in giving a boost to my career.