We are a team working on recommendation technologies and AI for 5 years for big US enterprises Our project is intended to revolutionize usual shops to make super interactive and relevant using most advanced recommender algorithms like collaborative filtering, reinforcement learning, trending etc. Also, we are using Face ID and visual feature recognitions to track customer behavior and sentiment analysis to see his reaction on proposals Our main challenge was to tune up algorithms to have a good quality of recognition and build are decent relevance basing on realtime signal processing. We proud to say that we build a solution that can solve vital problems of shoppers looking for satisfying own preferences in a short amount of time, almost any content/product provider can benefit from our approach and boost revenue. We created new recommender product by one day and it is cool! it is usable for many! We learned that expertise is everything! We hope that people and customers who interested will recognize us and collaborate!
Built With
- googlevision
- java
- javascript
- opencv
- sparkml
- spring
- vue
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