Domenico Lacavalla

Domenico Lacavalla

Data Scientist and ML Engineer focused on applied AI. I build and deploy solutions based on NLP, computer vision, and LLMs.

VisionAI Assistant (LauzHack 2024)

Published in EPFL, Lausanne, 2024

Developed over an intensive 22-hour period at the LauzHack hackathon at EPFL, VisionAI Assistant is a functional prototype of a multi-modal AI application. The system can interpret complex, natural language voice commands to analyze visual content in images.

Its architecture uses SBERT to identify objects of interest, Meta’s Segment Anything Model (SAM 2) for precise segmentation, and GPT-4o to dynamically generate and execute code for filtering based on multiple attributes like color, size, and position. This allows for sophisticated queries such as “How many red cars are on the left side of the image?”.