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sanket's Introduction

Sanket.

Sanket is a real-time sign language recognition application. It's designed to recognize a variety of sign language gestures, making communication easier for those who use sign language.

Features

  • Real-Time Recognition: Sanket can recognize sign language gestures in real-time, providing instant feedback to the user.

  • Easy-to-Use Interface: The application is designed with simplicity in mind, making it easy for anyone to use.

  • Adaptive Learning: Sanket learns from each interaction, improving its accuracy over time.

  • High Accuracy: Our model is trained on a custom dataset, ensuring high accuracy in gesture recognition.

  • Real Time User Progress Data: Users can track their progress in real-time, helping them improve their sign language skills.

Our model is trained for 26 alphabets and 16 words of American Sign Language (ASL), which are commonly used in general communication.

Tech Stack

Front-end:

  • React
  • Redux

Back-end:

  • Firebase (for hosting, authentication, and storage)

Machine Learning Framework:

  • MediaPipe

Future Enhancements

  • Complete Dashboard Feature: We plan to enhance the dashboard feature to provide more detailed progress tracking and user statistics.

  • Sign Language Learning Page: We aim to add a learning page that will serve as a dictionary for sign language. This will help users learn and understand sign language more effectively.

  • More Gestures: We plan to expand the model's capabilities to recognize more gestures, making the application more versatile and useful.

  • User Customization: We aim to add more customization options for users, allowing them to tailor the application to their specific needs.

Installation & Usage Instructions

  1. Clone the repository using git clone https://github.com/vitheshshetty00/Sanket.git
  2. Move to the appropriate directory: cd Sanket
  3. Install dependencies with npm install
  4. setup firebase by creating a project in firebase and adding the firebase config in src/firebase.js
  5. Start the server with npm start
  6. Open http://localhost:3000 to view it in the browser.

Acknowledgements

sanket's People

Contributors

shubhammore1251 avatar vitheshshetty00 avatar

Watchers

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