Outfit Recommender

Built an outfit recommendation program using the Yelp Fusion and OpenWeatherMap APIs to suggest clothing based on weather and location. Won 'Most Technical Project' at Mission Bit Demo Day, presenting to 150+ attendees.

The Problem

Deciding what to wear depends on two things people check separately: where they're going and what the weather will be like when they get there.

Approach

Combined two third-party APIs into one recommendation — OpenWeatherMap for current conditions and Yelp Fusion to resolve the destination and its context — then mapped the joined signals to clothing suggestions in Python.

The Outcome

Won 'Most Technical Project' at Mission Bit Demo Day, presented to an audience of 150+.

Highlights

▹Winner, 'Most Technical Project' at Mission Bit Demo Day
▹Integrated the Yelp Fusion and OpenWeatherMap APIs
▹Presented to 150+ attendees

Stack

Python

Yelp API

OpenWeather API