ISL Hybrid Translator (End-to-End)

This repository now includes a complete full-stack implementation:

• server/ - FastAPI inference service using your trained static and motion models
• client/ - Next.js webcam UI that streams frames to backend and builds sentence output

Quick Start

1) Backend

Recommended Python version: 3.10 or 3.11.

cd server
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
uvicorn app:app --host 0.0.0.0 --port 8000 --reload

2) Frontend

cd client
npm install
cp .env.local.example .env.local
npm run dev

Open http://localhost:3000.

Model Files Used

• Static-Model-Sentence/model.p
• Motion-LSTM-Model/motion_model.h5
• Optional: Motion-LSTM-Model/motion_data.pickle (if absent, backend uses notebook action fallback labels)

API Endpoints

• GET /health
• GET /meta
• POST /predict
• POST /control