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Safe Home Finder

by web_team10
December 16, 2020
in Courses, Web/Mobile Programming
2 min read
89
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Story Telling Data Sharing ML Experience Applications Ethics Presentation

What is the main story?

“I’m a 28 year-old male graduate student studying Computer Science at UMKC. My family and I moved from South Korea to the United States and are searching for a place to call home. We don’t know the Kansas City area very well, but we do know that we want a quiet and safe neighborhood. We want our new home to be within a reasonable price with excellent ratings of organizations/businesses. My daughter’s education and social activities must be of the best type of quality.”

Our objective is to provide users with a wealth of information that would be able to assist them in determining or refining if a certain area/community is appropriate for their new purchase. 

Who are the characters/people in this story?

The characters/people affected by this story are young adults, middle-aged adults, seniors, and families looking to find a home. The application will be able to assist characters with children to find a safe neighborhood and quality education. It also assists characters in finding a quiet and peaceful neighborhood.

What happens?

Our idea will contain crime statistics and school ratings from a variety of sources to form a simple, organized, and attractive resourceful site. This information will be provided alongside the listed home for sale/rent, so that users can make a timely informed decision rather than searching through multiple sources.

When?

This type of information becomes valuable during the research process of looking for a house. However, it can occur at any stage of the process.

Why?

There are many factors that users are looking for when buying/renting a new home. Without the proper sources of information, users can make a costly and regrettable decision on their new home. It is important to us that our users are able to find a safe place to live, within an affordable price range, and have access to schools with an exceptional educational atmosphere.

How?

Given a set of input data, users can filter through the list of available homes for sale/rent. Users can then be able to display additional information specific to the home selected. This set of data will include up-to-date data within the area regarding the crime rate, school ratings, and similar houses for sale/rent.

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This work was partially sponsored by NSF.

NSF IUSE #1935076
CUE Ethics: Collaborative Research: Open Collaborative Experiential Learning (OCEL.AI): Bridging Digital Divides in Undergraduate Education of Data Science

01/01/2020 – 6/30/2021, $ 350,000

Copyright © 2020 OCEL.AI.

 

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  • Courses
    • University Of Missouri Kansas City
      • Python/DL Programming
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      • ADV 3500 Digital Insights
    • Essex County College
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      • CSC 232 Advanced Database Management
    • Eastern Michigan University
      • JRNL453: Advanced Reporting
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