SignEase 2.0
Real-time ASL recognition integrated into video calls with live transcription to English.
- Computer Vision
- Assistive Tech
- Real-time ML
Overview
SignEase 2.0 brings real-time American Sign Language recognition into live video calls. Ashish Pandey built the backend and ML pipeline, which transcribes ASL to English text during calls using OpenCV, PyTorch, and MediaPipe.
What Ashish Pandey built
- Developed backend and ML pipeline for a live video calling application
- Integrated real-time ASL recognition with live transcription to English text at 88% accuracy
Tech stack
- Python
- OpenCV
- PyTorch
- MediaPipe
More projects by Ashish Pandey
- MemBlocks Modular memory management system for LLMs with isolated, shareable context spaces per conversation.
- TimelyMeet AI-powered meeting management app with multi-agent scheduling and email automation.
- Desktop AI Assistant Voice-controlled system automation agent enabling hands-free control, email, and browser automation.