Real estate is really inefficient and time consuming. Alongside this there is a housing crisis and many people want to invest into real estate, whether that's near them or in another state.
REALestate.ai works as users will type the zipcode or drop the pin onto the location they chose, then set a price range of the homes they would like to view, and finish it up by adding more key details to what type of properties they would like to view.
Our Frontend was built through Vite/React/TS and our Backend was built through Next.js API routes. We use Superbase as our database and auth as well.
Some of the challenges we ran into were missing elements on our maps, a 1:1 ratio of the map now showing up, and how each major city was highlighted. Databases and the embedding algorithm wasn't working at first, causing a large challenge into the system we were building.
Accomplishments that we're proud of is our end to end models. From the data to the models to the UI, everything connects very efficiently. Alongside this, our fallback logic is something else we are very proud of as it preserves momentum and allows the users to have a friendly experience.
We learned about consistent color schemes and how to build an easy UI. Current real estate apps or websites have a very difficult UI for the users to manage, confusing many. When we were building REALestate.ai, we had those people in mind and decided to create an easy UI where the users won't struggle.
What's next for REALestate.ai. We want to add more properties for users to view, as our current database is very limited. Alongside this, we want to enhance our algorithms for the best user experience.
