Personalized travel

We are building AI-backed recommendation engines that allow site owners to show recommendations on every page, such as relevant trips, services, packages, and content, based on crowd usage data and explicit user interests, with additional filters. No questionnaires or forms are involved, and users get clean, transparent and simple experience.

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Search relevance and social search

Recommendations quality is enhanced by the data dynamically aggregated and extrapolated from the Facebook check-ins. The cold-start problem has been addressed by using users' friends' check-in data.

Baarb - smart travel service

Conversational interface

Tools and technologies

  • ASP.NET MVC

    ASP.NET MVC

  • Baasic

    Baasic

  • Angular

    Angular

  • SQLServer

    SQLServer

  • React

    React

  • Power BI

    Power BI

  • TensorFlow

    TensorFlow

  • ElasticSearch

    ElasticSearch

  • PostgreSQL

    PostgreSQL

  • Amazon AWS

    Amazon AWS