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SKU: AI-4

AI Sign Language Prediction

An AI-powered sign language recognition system using MediaPipe and DroidCam to detect signs from images or live video, with a learning mode for practice

Rs 32000.00

500 In Stock

The Sign Language AI System is an intelligent application designed to bridge the communication gap between sign language users and others. It uses MediaPipe for detecting and tracking hand landmarks, allowing the system to accurately recognize and interpret signs. Users can provide an image input to detect specific signs, or rely on real-time recognition through DroidCam, which captures live video for continuous sign detection.In addition to recognition, the system supports a learning mode, where users can practice and understand different signs with instant feedback, making it an educational as well as a communication tool. With its ability to process both static images and live video streams, the Sign Language AI ensures flexibility and real-world usability. This project demonstrates the powerful use of computer vision and AI in making communication more inclusive for the hearing-impaired community.

Key Features

Image-Based Detection It Users can upload an image to identify specific signs.
Inclusive Communication Aims to bridge the communication gap between sign language users and non-signers.
Learning Mode Interactive feature that helps users learn and practice different signs with instant feedback.
Real-Time Recognition Integrates with DroidCam to capture live video and detect signs in real-time.
Sign Detection with MediaPipe It Uses MediaPipe to detect and track hand landmarks for accurate sign recognition.

Specifications

Backend Django (Python)
Database SQL LITE
Deployment Dockerized container (manual installation requires extra setup cost of 5000)
Frontend HTML, CSS, JavaScript, Bootstrap
Library MediaPipe for hand/sign detection
Note If You Need AnyKind of Code Snippet Related To This Project We Will Provide
Ram/Processor 8gb/3.5Ghz

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