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.

• 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.

Front-end:

• React
• Redux

Back-end:

• Firebase (for hosting, authentication, and storage)

Machine Learning Framework:

• MediaPipe

• 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.

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.

• React
• mediapipe
• Firebase
• NPM