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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Automobile Carbon Footprint Prediction

This solution predicts the running carbon footprint of a car

    Product Overview

    How green is your car? Cars running on hyrocarbon based fuels are a major contributor of greenhouse gasses in the atmosphere. With the sustainability becoming a decision criteria of acquiring a car along with the other usual attributes like performance, asthetics, reliability etc, this solution provides a simple way of ascertaining the running carbon footprint of the car. The solution uses supervised machine learning approch to predict the carbon dioxide (CO2) emission in kg per mile of running of a vehicle in standard conditions. The solution uses vehicle's dimensions, transmission, manufactured year, gears, horsepower, drive etc. to predict the fuel consumption and the carbon emission of the vehicle.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • The machine learning solution can analyze various car attributes like engine size, fuel type, vehicle weight, and more to provide precise predictions of the car's carbon footprint and mileage. This helps car owners and potential buyers make informed decisions based on the environmental impact and fuel efficiency of the vehicle.

    • The machine learning solution can be integrated with various platforms and tools, making it easy for users to access and understand the predictions. This may include interactive dashboards, mobile applications, or integration with car dealership websites, allowing users to visualize and compare the carbon footprint and mileage of different vehicles easily.

    • Need more machine learning, deep learning, NLP and Quantum Computing solutions. Reach out to us at Harman DTS.

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$5.00/hr

    running on ml.t2.medium

    Model Batch Transform$10.00/hr

    running on ml.m5.large

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.056/host/hr

    running on ml.t2.medium

    SageMaker Batch Transform$0.115/host/hr

    running on ml.m5.large

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.r5.large
    $5.00
    ml.r6g.xlarge
    $5.00
    ml.r6g.2xlarge
    $5.00
    ml.c5.large
    $5.00
    ml.r6g.large
    $5.00
    ml.m4.xlarge
    $5.00
    ml.m5d.2xlarge
    $5.00
    ml.c5.2xlarge
    $5.00
    ml.c4.large
    $5.00
    ml.r5.xlarge
    $5.00
    ml.c4.2xlarge
    $5.00
    ml.t2.xlarge
    $5.00
    ml.c4.xlarge
    $5.00
    ml.m5d.xlarge
    $5.00
    ml.m5d.large
    $5.00
    ml.c5.xlarge
    $5.00
    ml.t2.large
    $5.00
    ml.r5.2xlarge
    $5.00
    ml.t2.medium
    Vendor Recommended
    $5.00

    Usage Information

    Model input and output details

    Input

    Summary

    The input data must be in json format.

    Input MIME type
    application/json
    Sample input data

    Output

    Summary

    The output file contains the average mileage predicted column(MPG), carbon footprint (kg/km) along with the input features.

    Output MIME type
    text/csv, text/plain
    Sample output data

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Automobile Carbon Footprint Prediction

    Business hours email support

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Refund Policy

    We do not provide any usage related refunds at this time.

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