This research seeks to advance our understanding of how brain activity encodes language by building a machine learning framework capable of predicting linguistic features from iEEG data. With applications in neuroprosthetics and brain-computer interfaces (BCIs), this project has the potential to contribute significantly to both neuroscience and AI-driven speech technology.