In one sentence
The prototype demonstrated how wearable interfaces could support more context-aware, personalized communication.
01 · The problem
Why this mattered
Words carry only part of a conversation. Tone, expression, and body language often carry the rest—and most assistive systems ignore them.
02 · My work
From idea to system
I developed a multimodal pipeline with Arpit Kumar and advisors Dr. Abhinav Dhall and Dr. Sudeepta Mishra, trained using IEMOCAP to infer context and suggest responses.
03 · The result
What moved
The prototype demonstrated how wearable interfaces could support more context-aware, personalized communication.
- Deep learning
- NLP
- Audio
- Computer vision