Machine Learning for Visual Understanding: An Exploration of Embedding Spaces

Advances in artificial intelligence have significantly expanded our ability to automate visual triage. This project will exercise a full data-processing workflow, including data ingestion, embedding generation, and multimodal (text/image) based search - demonstrating critical analytic capabilities for stakeholders in information operations environments.

Intern: Shashank Edupuganti

Mentor: Malik Jackson (AOS/QAC)