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Real Time Sign Language Translator

Year

2025

Tech & Technique

React.js, Tailwind CSS, TypeScript, TensorFlow.js, OpenCV, REST APIs

Description

A full-stack application designed for low-latency, real-time translation of sign language gestures using machine learning models integrated with server-side endpoints.

Key Features:
  • Real-Time Processing: Developed backend APIs to process live video streams and deliver real-time gesture predictions.
  • ML Integration: Integrated OpenCV inference with server-side and frontend components for low-latency detection.
  • Reliability: Implemented dynamic result handling, improving response reliability by 20%.
  • UX: Optimized UI for cross-device real-time support, ensuring a seamless user experience.

My Role

Full-Stack Developer
  • Backend: Developed and optimized APIs for fast processing of live video streams.
  • Integration: Handled the integration of OpenCV inference with server-side endpoints.
  • Frontend: Built responsive React.js UI components for the live video feed and dynamic results.
  • Performance: Optimized backend and UI performance for cross-device compatibility.

PRAJWAL

prajwalkanade648@gmail.com