Reco

An all-in-one recommendation app, where every list is curated for YOU! So you don’t have to waste your time browsing, deciding or searching.

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Inspiration

Everyone wants to read, watch, or eat something they love. But how can one know or pick the best outcome through so many options? The problem is that young adults and teens spend too much time searching or choosing between which movies to watch, books to read, or restaurants to eat at.

Study reveals that we spend 18 minutes a day deciding what to stream on Netflix, which is a huge waste of time.

We wanted to tackle this issue with our application, Reco.

What it does

Reco is an all-in-one recommendation app, where every list is curated for you, so you don’t have to waste your time browsing, deciding or searching. Based on what they like and/or bookmark, the app will filter out better recommendations for the user.

Challenges We ran into

  • The limited time limited our designs and options
  • The hackathon was virtual, making it harder for us to communicate
  • Different time zones made it more difficult to find the perfect time for team meetings along with a major shift in sleep schedules.
  • Because half of us are designers and half of us are coders, we had to work effectively as a team to get all our ideas across and the cans and cannots.

However,

  • Although the hackathon was virtual and some of our team members were in different timezones, we still pulled through and had punctually team meetings.
  • Everyone communicated well and had great ideas.
  • We all succeeded through teamwork and everyone pulled their own weight with talents from the different sectors and areas.

Technical Design

We used a collaborative filtering recommendation system for recommended books to the user. The data collected from Goodreads was trained using the user ratings, and ratings from like-minded users(incluidng friends) to calculate predictions for the active user.

For the Future

Reco will definitely be useful for many users who want to save time finding options they love, even later on. Entertainment is a big part of living life, so users will need something to lean on when it comes to finding recommendations.

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