Inspiration

With the ever-increasing awareness of rising student accommodation in Durham, whether or not students are being scammed by landlords has triggered a heated debate. We built this software to help students to find properties price easier, as well as to make house listing information transparent so that landlords cannot scam students.

What it does

A web application that predicts property prices in the UK using machine learning

How we built it

This project was buikt using two web scrappers that scrapped property data from rightmove in the durham area. This data was then fed through a machine learning algorithm using linear regression to figure out the price of a property based on its postcode, number of bedrooms and number of bathrooms. The communication between the express.js backend and the machine learning model was done using flask.

Challenges we ran into

  • finding APIs / Datasets

Accomplishments that we're proud of

  • learned machine learning from scratch
  • learned web scrapping from scratch ## What we learned
  • collaborative software development
  • time management
  • working with frameworks ## What's next for ValuateIt
  • expand datasets
  • expand available regions
  • optimize machine learning algorithm to consider user input
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