Boston, MA · Member since 2018 · 13 posts · 8 votes
Hello,
I wanted to get feedback and thoughts from Investors and Real Estate professional on a potential tool that would use machine learning and AI to create scores or ratings on real estate markets at the zip code level. This model would factor in dozens of variables from traditional and non traditional data sources. These scores would vary based on the type of investor (flippers, buy and hold, etc) and different weights would be give to certain variables. As an investor would you find any value in this type of software? It would be able to identify potential trends and opportunities in markets that would be over looked by the average individual. Let me know what you think!
I think this type of software would be most useful to a company buying at least 5 properties per month, which is the top .5%. Anyone else might use it for a week or two to pick out a zip code to focus on but after that it has little use.
If you can build AI to compile all information about a homeowner to score and rank homeowners based on their likelihood to be motivated I would pay good money for that.
I think this type of software would be most useful to a company buying at least 5 properties per month, which is the top .5%. Anyone else might use it for a week or two to pick out a zip code to focus on but after that it has little use.
If you can build AI to compile all information about a homeowner to score and rank homeowners based on their likelihood to be motivated I would pay good money for that.
One thing I think would be interesting for the Bay Area (and other major cities) would be identifying which areas with bad school ratings are seeing a demographic changes. Cross reference with employers with higher education off linkedin (use an API), and see if there's a correlation between housing prices in districts which are being gentrified, school ratings over that time period, and housing prices (in fact maybe there's another correlation between if these employers work for recently IPO'd companies and are exercising fresh options to purchase real estate). Haven't seen anything like this yet and thought it would be quite the project for anyone interested in a cool data science project. Maybe I'm just rambling and past my bedtime, but I hope someone can do this. I think the findings would be quite useful to analysts here (although my opinion on the real estate is it should see heavy price deflation).
I wanted to get feedback and thoughts from Investors and Real Estate professional on a potential tool that would use machine learning and AI to create scores or ratings on real estate markets at the zip code level. This model would factor in dozens of variables from traditional and non traditional data sources. These scores would vary based on the type of investor (flippers, buy and hold, etc) and different weights would be give to certain variables. As an investor would you find any value in this type of software? It would be able to identify potential trends and opportunities in markets that would be over looked by the average individual. Let me know what you think!
Thanks
If your interested in setting the parameters for a project like this, shoot me a DM.
I think this type of software would be most useful to a company buying at least 5 properties per month, which is the top .5%. Anyone else might use it for a week or two to pick out a zip code to focus on but after that it has little use.
If you can build AI to compile all information about a homeowner to score and rank homeowners based on their likelihood to be motivated I would pay good money for that.
Great point. I would love to see something like that as well. Problem is most counties property records are so outdated, it would be a major pain in the butt to collect.