The main objective of this project is to develop a recommendation algorithm that generates personalized, real-time itineraries for users to explore the city through the Hidden Gemz platform. This algorithm will leverage user preferences and an existing database of businesses to create a seamless "Choose Your Own Adventure" style experience.

Learners will be solving the problem of providing personalized, dynamic city exploration recommendations that adapt in real-time based on user preferences, feedback and the current status of participating businesses. Users often find it challenging to plan and discover local experiences that match their interests and constraints. The goal is to remove this friction and offer an engaging, stress-free way to explore the city.

Expected Outcomes

• A functional recommendation algorithm capable of generating personalized, real-time itineraries.
• Improved user satisfaction through tailored city exploration experiences.
• A scalable solution that can be adapted to new cities as Hidden Gemz expands.

Resulting in Enhanced business engagement and increased foot traffic to local businesses.

Learners will work directly with our tech team through weekly meetings, gaining hands-on guidance and feedback. The Hidden Gemz team will provide comprehensive support, including access to our extensive databases and expert mentors specializing in AI/ML and scalable systems. With dedicated staff time and robust support systems, learners will have the resources they need to ensure successful project completion.