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Pandas are used to analyze the data and Amazon Alexa is used to customize queries on food insecurity

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Project Description and Motivation

Having been a part of restaurants as part time job holders, we could relate to the issues of food insecurity. Hence we chose to show the disparity between food wastage and food shortage and bring awareness with the help of statistics available. We added custom skills related to food insecurity to Amazon Echo using Amazon web services and analyzed the datasets based on hunger using pandas. We ran into issues with Echo, as it was not able to recognise the location but eventually came up with a solution. Datasets related to food insecurity were difficult to find and the ones which were found had missing values. So we tried to combine various datasets to get the relevant information. We are proud as we were able to work on a prominent problem. We learned about Amazon web services and python. The next step for our project would be to add more skills to Echo, where it can read tweet data, household data and make it more personalized.

Below are the steps stated by Alexa sample example

Build An Alexa Fact Skill

This Alexa sample skill is a template for a basic fact skill. Provided a list of interesting facts about a topic, Alexa will select a fact at random and tell it to the user when the skill is invoked.

To Get Started click the button below:

Get Started

Or click here for instructions using the ASK CLI (command line interface).

Additional Resources

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Tutorials & Guides

  • Voice Design Guide - A great resource for learning conversational and voice user interface design.
  • Codecademy: Learn Alexa - Learn how to build an Alexa Skill from within your browser with this beginner friendly tutorial on Codecademy!

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Pandas are used to analyze the data and Amazon Alexa is used to customize queries on food insecurity

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