We have completed 2 challenges. The first one (cartpole) was completed using our own code, we implemented Deep Q Learning. For the second one (Lunar Lander) we used stable_baseline library.
TRANSDUCER watches any video clip and captions it in four voices - formal, sarcastic, humorous_tech, humorous_non_tech. One 1024px look, four persona briefs, grounded in what's on screen.
Mealy and Moore
This project is a simple video captioner. Uses a VLM to extract the text from a video and another model to transform the description in the required styles. As a fallback, it contains a fine-tunned local model based on Gemma 4.
Neotron
AIVE (Artificial Intelligence Venture Engine) is a Cognitive Discovery Operating System that transforms documents, research papers, and data into structured knowledge, evidence-backed insights, dynamic reasoning, and actionable innovation opportunities.
Quacky Wonderland
SOAP Copilot turns raw doctor-patient conversations into structured SOAP notes, ICD-10 codes, and patient-friendly summaries in seconds, using a 3-agent Llama 3.3 70B pipeline built and fine-tuned on AMD hardware.
LoneSoloWolf
A reinforcement-learning router that learns which AI model to call for each query, cutting cost by ~93% without ever hardcoding a routing rule.
nyan
Tommaso Van Der Meer
Management Engineer
Konstantinos Marios Georgantas
Antonio Mario Pio Frioli
Gerard Tomczynski