While wishing a happy new year around me, people helped me realised how many good things happened to me this year. Funny enough, while listing my goals for 2019, I found the matching list for 2018 and here is what really happened.
From my first year studying computer science, I’ve always wanted to do more on my free time and create simple projects that could be useful for others. I won’t lie, I wish I was able to monetise them but regardless the outcome, learning was always part of the journey.
During this year, I have blogged quite a bit about code architecture in Swift and I’ve realised that I didn’t explain much about which design pattern to use with it. In a serie of coming posts, I will cover different design patterns, starting now with observer.
For a while now, I really wanted to work on a machine learning project, especially since Apple let you import trained model in your iOS app now. Last September, I took part of a 24h hackathon for an Ecommerce business, that was my chance to test it. The idea was simple: a visual search app, listing recommended products based on a picture.
Couple months ago, I’ve built an app and released it on the App Store. Since published, I really wanted to see how it lives and understand how to make it grow. Ideally, I wanted to know if there is a product / market fit. In the article, I describe each steps and ideas that helped my app grow and what I learnt from it.
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