Zoopla Match

Framing the Problem

What is the problem you are trying to solve? Who does it affect?

50% of neurodiverse people feel overwhelmed by choice when buying a property. How could we reduce the number of properties they had to consider to find their dream home?

Idea Explanation

What is your idea? How does it fix the problem?

Our idea was to take a solution from the dating industry and apply it to the property market. Tinder recommends matches based on a user's choices. We suggest applying this to the Zoopla app. Users can add their criteria to get a list of results. As they view the results, they swipe left/right to indicate if this property is a like or a dislike. The app learns from these choices and tailors the results. The user therefore gets a more personalised experience with fewer but more suitable choices.

Implementation

How do all the pieces fit together? Does your frontend make requests to your backend? Where does your database fit in?

We did not build a frontend but created prototypes in Figma. The frontend will be built in React. It will make use of the react tinder card component which allows users to swipe left or right.

The properties could be stored in a database but for now they are in a csv file.

When a user swipes left or right these properties will be stored in a seperate table and other properties will be compared to these and matches made and displayed to the user.

We created a model in Python that can compare properties and make suggestions based on the comparisons.

Challenges

What did you struggle with? How did you overcome it?

The idea stage took a long time and we did not decide on a final idea until around 3pm on Saturday. As a result we did not get very far with our build. Lack of frontend skills so we used Figma for proptotyping instead.

Accomplishments

What did you learn? What did you accomplish?

Team work.

Dealing with setbacks.

Getting a working backend.

Next Steps

What are the next steps for your project? How can you improve it?

Create a frontend.