Back
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:
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.