MetroMove

Inspiration MetroMove was inspired by the need for a more personalized and efficient way to find your perfect neighborhood. We wanted to create a platform that combines real estate data with lifestyle preferences, giving users tailored recommendations that align with their values and needs.

What it does MetroMove guides users through an interactive questionnaire that collects important details such as budget, lifestyle, job location, commute preferences, and safety concerns. Based on this input, it generates ranked neighborhood recommendations, integrating real estate data, crime rates, school ratings, walkability scores, and transit accessibility.

How we built it We developed MetroMove by combining front-end web technologies with data-driven APIs. The platform's user-friendly interface is powered by HTML, CSS, and JavaScript, while the back-end processes include fetching real estate data, crime rates, and transit scores. We leveraged CoStar Group’s real estate database for comprehensive listings and integrated additional sources for safety and walkability metrics.

Challenges we ran into One of the biggest challenges was integrating various data sources into a seamless experience for the user. Merging real estate listings, safety data, and walkability scores required careful handling of data consistency and real-time fetching. We also worked to make the interface both intuitive and visually engaging.

Accomplishments that we're proud of We’re proud of successfully integrating multiple datasets to provide users with comprehensive, personalized recommendations. Additionally, the interactive form we developed is intuitive, and the entire user experience is designed to be both functional and visually appealing.

What we learned We learned a lot about combining multiple types of data to create a holistic and personalized experience. We also gained insights into user-centered design, focusing on making the platform both accessible and visually compelling. Working with real-time APIs gave us valuable experience in handling dynamic data.

What's next for MetroMove Moving forward, we plan to expand MetroMove’s capabilities by incorporating more granular data on neighborhoods, such as local amenities, public services, and environmental factors. We also aim to enhance the user interface for even better usability and performance, ensuring that users receive the best recommendations possible.