Sign Language Translator

The Problem

Accessible communication breaks down when sign gestures must be interpreted manually in real time without assistive tooling.

The Solution

I prototyped a gesture-driven pipeline using Python, OpenCV capture/preprocessing, and TensorFlow classifiers to translate recognized signs into text or speech outputs.

Technologies used

Key Outcomes

• Shows applied CV + ML literacy bridging HCI and accessibility goals.
• Open repository inviting iterative dataset improvements and model swaps.