SamaVaad

A working software preview of the two-way conversation loop — before the glove, this is the brain of SamaVaad, live in your browser.

ISL Sign → Regional Speech → Spoken Reply → ISL Avatar

The SamaVaad Infinity Loop

Closing the conversational gap through continuous hardware and AI integration.

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Direction 1: Deaf → Hearing

The glove captures ISL signs, an on-device AI model converts them into a grammatically correct sentence in the hearing person's regional language, and it's spoken aloud.

Example Translation
"WATER + WANT"
→ hears "Mujhe paani chahiye" (Hindi)
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Direction 2: Hearing → Deaf

The hearing person speaks naturally, the AI transcribes and restructures it into ISL grammar, and an animated avatar signs the response back.

Example Translation
"Priya, have you eaten lunch?"
→ avatar signs "PRIYA EAT LUNCH FINISH YOU"

Step-by-Step Workflow

Deaf → Hearing

1 Sign in ISL
2 Flex sensors + IMU capture motion
3 On-device gesture recognition classifies the sign
4 Grammar bridge reconstructs a regional-language sentence
5 Text-to-speech plays the audio

Hearing → Deaf

1 Speak naturally
2 Speech recognized and transcribed
3 NLP simplifies it into ISL grammar
4 Sign sequence is mapped
5 Avatar animates the signs

The Six AI Layers

The proprietary architecture powering true bidirectional fluency.

Layer 1

ISL Gesture Recognition

A temporal CNN/LSTM model on-device classifies flex-sensor and motion data into ISL signs in real time, adapting to each signer's style.

Layer 2 Core Innovation

Cross-Linguistic Grammar Bridge

True bidirectional fluency requires a Cross-Linguistic Grammar Bridge, not mere word-swapping. Indian Sign Language has a fundamentally different grammar from spoken languages (lacks articles, tense markers, uses strict topic-comment order). Our Seq2Seq Transformer AI Engine strips tense markers and restructures syntax rules in real-time to ensure total fluency in both directions.

Layer 3

Regional Language Text-to-Speech

Converts the reconstructed sentence into natural speech in the target Indian language, with voice models cached on-device for offline use.

Layer 4

Speech Recognition + NLP Simplification

Transcribes the hearing person's speech and restructures it into clean ISL-compatible grammar, removing articles and tense markers.

Layer 5

ISL Avatar Animation Engine

Renders the sign sequence as a smooth animated avatar using motion interpolation between signs, rather than robotic pre-recorded clips.

Layer 6

Federated Personalization & Context

The model fine-tunes to each user's signing style on-device (federated learning, no personal data leaves) and uses recent conversation context to resolve ambiguous signs.

Curious what the physical glove looks like?

Explore the Hardware →