Moove

Moove is helping college students purchase homes confidentially through fraud prevention, investment guidance based on housing trends, and comprehensive property data for informed decisions.

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Inspiration

With excitement to explore Melissa's exciting data ecosystem and extensive APIs, we decided to venture out of our comfort zone and enter the housing world. It occurred to us as college students, the act of moving out into our homes was looming on us. We were faced with the realization that we knew little about what it took to purchase a home, much less how the finances of it worked. As a result we built Moove, a property purchasing platform for college students that has property-owner-authentification and financial advice to our users.

What it does

Moove has two main components, our property-owner-authentification (milKEY) and our financial dashboard (Your Moove Report).

Beginning with our milKEY, it's a way for property sellers to verify to their customers that they actually own the property they are selling; we do this to prevent housing scams which are commonplace while college students try to find housing. Leveraging Melissa API, we verify ownership of a property via name, SSN, and property address. We utilize the Melissa SSN Name Match API to ensure that the owner is in fact the person they say they are. Afterwards, we use the Melissa Property WEB API to verify the owner's name is on the actual legal deed of the property. If all runs correctly, the seller is given a randomly generated milKEY that is stored in our database. Each milKEY is unique and correlates to the address. This milKEY will be used during the house lookup for the prospective college student buyer to ensure reputability of the property seller.

Afterwards, they will be directed to our Moove Report, in which it displays information regarding future property costs, general information of the home, a picture of the property, and mortgage plan also from the Melissa Property WEB API. Each aspect has an integrated explanation to educate the college student of what they are looking at. Based on yearly income and credit score, we give the property a custom Moo Score based on how well we think the property suits the specified student.

How we built it

We used React.js and CSS for the frontend. We also used Womp to design 3D models of our cows as well. For the backend, we used Node.js and Express.js. Additionally, we used Firebase for the storage of milKEYS and properties for verification between sessions.

Challenges we ran into

  • Integrating frontend with backend is HARD.
  • CSS is also hard.
  • Staying up late is also hard.
  • Firebase is also really really hard.

Accomplishments that we're proud of

  • We like our 3D models very much
  • We're proud of our relatively complex verification system and varied displays of information.
  • We gave it out best effort!

What we learned

  • How to work together
  • How to stay up late
  • How to use CSS and Firebase
  • How to efficiently call Melissa API

What's next for Moove

We would want to add more information to help college students strengthen their understanding of finance regarding real estate. Additionally, the implementation of a login page for students to save prospective addresses would also be nice.

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