iMitra is a powerful and innovative mobile application designed to assist visually impaired individuals in India. It offers a range of features, including object detection capabilities, a Braille script-based learning keypad, emergency SOS, and live location sharing. With iMitra, visually impaired users can navigate their surroundings safely, communicate effectively, and enhance their independence.

• Object Detection: iMitra utilizes Google's ML Kit to detect and identify objects in real-time. With just a tap of a button, users can receive audio descriptions of their surroundings, enabling safer navigation.

• Braille Script-based Learning Keypad: iMitra provides a user-friendly Braille script-based learning keypad. It allows visually impaired individuals to learn and practice Braille script using their mobile devices, fostering their literacy skills and independence.

• Emergency SOS: In critical situations, iMitra includes an emergency SOS feature. Users can quickly trigger an alert, notifying designated contacts and emergency services for immediate assistance.

• Live Location Sharing: iMitra enables live location sharing, allowing users to share their real-time location with trusted contacts. This feature enhances safety and facilitates easier coordination and support when needed.

• Flutter: iMitra is developed using Flutter, a powerful and versatile mobile app development framework. Flutter enables cross-platform compatibility, ensuring the app can be used on both iOS and Android devices.

• Firebase: Firebase, a mobile and web app development platform, is utilized for backend functionalities, user authentication, and real-time data synchronization.

• Google's ML Kit: iMitra leverages Google's ML Kit, a machine learning platform that enables image and text recognition. This technology powers the object detection capabilities of the app, providing audio descriptions of the user's surroundings.

• Twilio: Twilio integration enhances iMitra's emergency SOS feature, enabling seamless communication with designated contacts and emergency services.

• TensorFlow: TensorFlow, an open-source machine learning framework, enhances the app's capabilities in object detection and image recognition, improving accuracy and performance.

To run iMitra locally, follow these steps:

1. Ensure that you have Flutter installed on your machine. For Flutter installation instructions, refer to the official Flutter documentation.

2. Clone this repository to your local machine.

git clone https://github.com/your-username/iMitra.git

3. Navigate to the project directory.

cd iMitra

4. Install the required dependencies.

flutter pub get

5. Run the app on your preferred emulator or connected device.

flutter run

Contributions to iMitra are welcome! If you have any ideas for improvements or new features, feel free to submit a pull request. Please ensure that your code follows the project's coding guidelines and conventions. https://github.com/SachinAshish

We would like to express our gratitude to the contributors, developers, and communities of Flutter, Firebase, Google's ML Kit, Twilio, and TensorFlow. Their invaluable tools and technologies have made iMitra possible and have helped us create a positive impact on the lives of visually impaired individuals in India.