This Flutter project implements a digit recognition application using TensorFlow Lite. The app allows users to draw digits (0-9) on a canvas and then predicts the drawn digit with a confidence level using a pre-trained model based on the MNIST dataset. Additionally, the app provides voice feedback to the user, narrating the predicted digit.
- Allows users to draw digits on a canvas.
- Utilizes a TensorFlow Lite model for digit recognition.
- Provides prediction confidence levels.
- Offers voice-over feedback for the drawn digit.
- Clone the repository: git clone https://github.com/MugdhM/Digit-Recogniser.git
- Navigate to the project directory: cd digit-recognition-app
- Install dependencies: flutter pub get
- Run the app: flutter run
Draw a digit (0-9) on the canvas provided in the app. Wait for the prediction result to appear with a confidence level. Listen to the voice-over narration of the predicted digit.
##Contributing Contributions are welcome! If you want to contribute to this project, feel free to submit a pull request.
##License This project is licensed under the MIT License - see the LICENSE file for details.