Welcome to MTurk Crowd

Work on Amazon Mechanical Turk, learn from the best, and have fun doing it. Join the crowd today!

Sign Up

Amazon Case study: MEANS - Matching Excess with Need

Discussion in 'AMT News' started by electrolyte, Oct 7, 2017.

  1. electrolyte

    electrolyte
    Expand Collapse
    The Ghost of MTurk Past

    • Contributor
    Joined:
    Jan 10, 2016
    Messages:
    19,184
    Likes:
    45,946
    Two students had an idea: match excess food with people in need. Maria Rose Belding and Grant Nelson created MEANS, a nonprofit database where people list a donation, food banks and pantries get notified about food near them, and then they claim and pick up the food.

    MEANS was built out and integrated on AWS using services including Amazon CloudFront for content delivery, Amazon Simple Storage Service (Amazon S3) for storage, Amazon Mechanical Turk (mTurk) for data validation, and Amazon Machine Learning to predict which food pantry they should be calling to maximize the chance of a donation finding a home.

    Full story:
    https://blog.mturk.com/case-study-means-matching-excess-with-need-a198524b9033
    https://aws.amazon.com/blogs/publicsector/means-matching-excess-with-need/
     
    Collapse Signature Expand Signature