I worked on the backend machine learning and recommendation engine. I used python based computer vision CNN to identify objects and label them from user submitted photos from mobile and canon api uploads, and location information from the TomTom api. Using those labels I built a recommendation engine using a combination of models including clustering, SVM, and Deep Learning Embedding to apply collaborative filtering from similar users. This allowed us to return personalized and relevant recommendations from similar users that align with the user’s interests and location.
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