Summary on How to Use the Webapp

Introduction

This project is currently a working prototype for real estate investor to quickly narrow down potential investments. The initial scope of this project is to initially grab download all addresses from the U.S. and create mulitple charts, graphs and maps. However, the amount of time and data to achieve this is beyond any personal computer(grabbing and storing all data from Connecticut is about 7 hours). The project has shifted to outsource creating maps of the U.S. real estate market to other services, and only displaying charts and graphs of one state by the user. For instructions on how to changed the data of charts and graphs to another state refer to the GitHub repo. If some of the features listed below is not working or fully implmented then its most likely in progress to be developed and working.

Tech Stack: Python3, Sqlite3, Node.js, Express.js

Features

Machine Learning Price Prediction

A features of this project is a machine learning model to predict future prices of properties. This feature works better with greater accuraccy on a larger data set. So if the initial collection of data by the user is limited to only 10,000 addresses. The accuraccy of the predictions will not be as great as a data set of 1 million addresses. The user can also predict prices on city or state level.

Investor Dashboard Tool

The project also has an interactive investor dashboard that the user can create to however they want. To use this feature navigate to "Real Estate Investor" on the left hand side and click on the button "create a card". This will create a new card on the page that allows the user to select what tool they would want in the drop down menue. The user can also change the color of the card to help differentiate similiar cards, name the card, resize the card, and drag drop where ever they want on the dashboard. If the investor does not want the card any more they can drag the card to the trash can on the left hand side to delete it.

Comparing Price Trends

Another tool is displaying the historic price history of a property to the median and average historic price of properties in the same city. The user is also able to look at the price trend of sold properties as well.

Mass Property Filter

The ability to narrow down the search of proerpties based on the property attributes such as number of beds, bath,sqft,etc..

Year over Year Analysis

The ability to show which property is apperciating year over year at a given percentage.

DISCLAMER

This webapp is a tool for educational purposes only. Nothing on the webapp should be construed as financial advice or a recommendation to buy or sell any sort of security or investment. Consult with a professional financial adviser before making any financial decisions. Investing in general is risky and has the potential for one to lose most or all of their initial investment.

About The Developer

Hello! I am aspiring software engineer who has recently graduate from University of Minnesota Twin Cites with Bachelor's Degree in Computer Science. My experience is mainly focused on Python and the backend development side of things, but I have experience in Artificial Inteligence, Machine Learning, Full Stack Development, and Automation. The tools and languages I am famiular with are: Java, Python, C, C++, Ocaml, Shell Script, GraphQL, Kubernetes, Docker, Flask-RESTful/RESTx , PostgresSQL, MongoDB, Excel, Grafana. To see more of my work and experience feel to look at my GitHub and LinkedIn.