Non-invasive, AI-based and LLM Therapeutic Support OSS Brain-Computer Interface to help people suffering from depressions (1)

A non-invasive Neurosity BCI was beta-tested for depression support, and a neurogame was developed to actively influence brain activity. LLMs were tested on a Materna server and locally to support therapists diagnostically. The LLMs were benchmarked and a function for working with medical guidelines was implemented. Physical AI was examined, showing speech-enabled robots can help. Runtime analysis enabled wearable medical data to be integrated into diagnostics, and this data was generated and analyzed for correlations.

Large language models, EEG (electroencephalography), non-invasive BCI, Python, ollama, OpenWebUI, Docker, Kubernetes, bash, shell, javascript, fine-tuning, RAG, focus score, calm score, alphasymmetry, MI (motor imagery), depression guidelines, RagFlow, Neurosity Python SDK, BrainFlow, LSL (Layer Streaming Lab)

None except Neurosity Python SDK - Data is utilised by Neurosity company

Medical field (Psycho Therapy, Neurology), Gaming industry, wearables industry, R&D (science labs)

Individual, separate contract agreements