Made by Dream Team
Interpret your dreams…
Nocturne is an intriguing way to interpret, store and share dreams, with responsive and reactive visual and textual feedback provided by two custom trained AI models, offering two distinct interpretation styles. We wanted to give users the opportunity to record and analyse their dreams in an engaging way, turning dream fragments into an ongoing journal that could be shared and revisited.
The Team
Mike Winnard
Visual artist and designer, currently exploring Machine…
Learning
Tom Glencross
Writer and artist, interested in Neolithic standing stones…
and front end development
Marcus Gough
Software dev interested in the full stack, creative…
programming, integrating abstract principles with specific requirements.
Zoltan Mozga
Junior full-stack software dev working mainly in Javascript
Seif Hok
Junior software developer specialising in back-end…
infrastructure
Tech Stack
We used: Node, React, Chakra, TsParticles, Motion Framer, Firebase, FASTapi, Docker, Python, PyTorch, Transformers React with Chakra UI provided accessible components while TsParticles and Motion Framer enabled us to quickly create engaging animations and visual effects. Firebase handled authentication and real-time data without complex server management. FASTapi deployment in a docker containerisation gave us rapid Python endpoints to interface with the ML models, while PyTorch and Transformers provided the foundation for custom LLM fine-tuning using a LoRA configuration.
Challenges Faced
Transitioning to Python for ML was a steep learning curve. Spiking new tech was limited by time constraints for the project’s launch.