New
Introducing Compute Orchestration
December 22, 2016

Clarifai Featured Hack: Find The Perfect Gift With Gifted, An AI-Powered Recommendation Engine

Table of Contents:

Gifted is an AI-powered recommendation engine that takes the guesswork out of gift-giving by looking at a photo and suggesting an appropriate present. You can send Gifted a photo of the gift recipient to build a gifting profile perfectly suited to their personality !

We all have that person in our lives who’s impossible to shop for, whether it’s because they’re a spoiled princeling who has everything or because they’re a total Scrooge who enjoys nothing. Gifted is an AI-powered recommendation engine that takes the guesswork out of gift-giving. The app finds suitable gifts just by looking at the photo of the person or their interests!

 

gifted
 
WHY WE ❤ IT

Giving someone the perfect gift is hard. It requires a level of thoughtfulness we reserve for only our most deserving friends and family. SO. MUCH. EFFORT. For all the other people in our lives (we’re looking at you, Secret Santa!), we’re glad to have Gifted to pick out a great present without all the work.

HOW YOU DO IT

We caught up with Michael Jordan (not that one), founder of Gifted, to talk about his great app idea!

Clarifai: What inspired your idea for Gifted?

Michael: To pick the perfect gift for someone, you need to describe that person. Describing people is hard and takes a lot of words. A picture is worth 1,000 words, so naturally the quickest way to describe someone is to look at some pictures of them.

How did you build the app?

I had been working on building this from scratch for three weeks. I was running out of time as the holidays were approaching. I threw it all away and started from scratch. I decided to try Clarifai, and in one weekend I built the finished product with a serverless architecture. The Clarifai integration took 15 minutes tops and I had a fully functional product in two days!

Clarifai had clear documentation and took less than 10 lines of code total to integrate. I tested Google Vision as well, but the amount of set-up and documentation they throw at you is daunting compared to Clarifai, whose set-up and implementation reminds me of Stripe (highest compliment possible). The deciding factor was the speed with which I could integrate Clarifai, test results, and iterate. Also, the developer community had some great public examples of Clarifai integrations, so I was able to see how others integrated Clarifai and tailor my own integration with their examples.

I didn’t consider pricing at first because my first question was, “Can I build this, and will the tagger give me good enough results that will enable me to turn this into a product?” This is why Clarifai’s free tier was crucial. I wouldn’t have used something if I had to pay up front because I wasn’t sure I could build the product in the first place.

What was the best part about working with the Clarifai API?

Clarifai empowered Gifted the same way AWS empowered a generation of startups, and Stripe did for a generation of commerce. It’s the future. If it wasn’t for Clarifai, we wouldn’t exist!

Thanks for sharing, Michael!

To learn more, check out our documentation and sign-up for a free Clarifai account to start using our API – all it takes is three lines of code to get up and running! We’re super excited to share all the cool things built by our developer community, so don’t forget to tweet @Clarifai to show us your apps.

And give Michael some props in the comments below. Until next time!

How to Drive Revenue with Computer Vision AI