Problem

Map My City was a mobile app concept created attract and retain users searching for areas of interest. Current housing sites only provided basic information about neighborhoods, with ambiguous ranking systems and limited options showcasing places of interest, without any additional context or recommendations.

This resulted in low engagement rates and negative reviews from users who wanted detailed information about their future neighborhoods to select the best home and apartment for them. They needed a solution that would enhance the user experience and provide more value to its users.

Click here to see the MapMyCity demo created prior to the redesign.

Solution

MapMyCity is designed to aid apartment and home seekers in their search for amenities close to their future residences. We decided to implement a feature that would provide personalized recommendations based on the user's interests and favorite future residence locations. This was achieved by integrating machine learning algorithms that analyzed the user's search history and behavior within their apartment/home searches.

In addition, we added social sharing capabilities that allowed users to share their favorite places with friends and family. This not only increased engagement but also helped spread awareness of the app through word-of-mouth marketing.

"This app will completely change how I explore new cities. The personalized recommendations are spot-on and exactly what I would love to use to discover the best neighborhoods with all my favorites gems."

Team

Lead Developer
- Developed the machine learning algorithms and integrated them into the app
- Collaborated with the design team to ensure a seamless user experience
UX Designer
- Designed the social sharing feature and implemented it into the app
- Conducted user research to inform design decisions and improve usability

MapMyCity Searches Urban Intersections with AI Recommendations