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About the project

The client needed a way to deliver more personalised meditation experiences to a growing user base. With a large content library, users often struggled to find the most relevant sessions. This affected engagement and the overall experience.

To address this, Zedrox built an AI-powered recommendation engine combined with a virtual assistant. The system suggests meditation content based on user intent, behaviour, and preferences.

The assistant understands user queries and guides them to the right audio, video, or resources. It also supports multilingual interaction, making the platform accessible to a wider audience. The solution improves content discovery, reduces effort for users, and creates a more engaging and personalised experience.

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Used technologies

The solution is built using a modern AI stack. We carefully selected technologies suited for handling large content libraries and real-time user interactions.

OpenAI Models
OpenAI Models
Qdrant Vector Database
Qdrant Vector Database
LangChain (AI orchestration)
LangChain (AI orchestration)
Natural Language Processing-functionaliteiten (OpenAI)
Natural Language Processing-functionaliteiten (OpenAI)

Services that we have provided

We handled the complete development and implementation of the AI-powered system. Our work included the following:

  • GenAI recommendation engine development

    Built a system that delivers personalised meditation content based on user preferences, behaviour, and intent. This helps users easily discover relevant audio, video, and resources.

  • AI chatbot and virtual assistant

    We built a conversational assistant that understands user queries. It provides guided responses along with personalised meditation suggestions.

  • Content discovery and retrieval optimisation

    We structured and improved how content is accessed, making blogs, guided sessions, and resources easier to find through intelligent search and recommendations.

  • Multilingual support and UX enhancement

    Enabled support for multiple languages such as Dutch, English, and German. This improved accessibility and delivered a smoother, more engaging user experience.

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Final-result

Final results

The solution improved how users discover and engage with meditation content across the platform:

  • More relevant and personalised meditation recommendations

  • Faster and easier access to guided sessions, audio, and resources

  • Improved user engagement through better interaction with the virtual assistant

  • Reduced effort in finding the right content within a large library

  • More consistent and accurate responses based on structured knowledge retrieval

  • Better insights into user behaviour to support content and product decisions