Roshetta is a state-of-the-art telemedicine application that allows patients and doctors to conveniently schedule and manage medical appointments. Built on Node.js, this platform streamlines the process of booking appointments and enhances healthcare access for users.
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Effortless Appointment Reservations: Patients can easily book appointments with their preferred doctors through a user-friendly interface.
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Secure and Private: Roshetta prioritizes data security and ensures the confidentiality of sensitive medical information.
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Admin Dashboard: Administrators have access to an intuitive Admin.js dashboard, granting them full control over the application and its functionalities.
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Appointment Notifications: Users receive timely notifications to stay informed about upcoming appointments and important updates.
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User Profiles: Patients and doctors can create and manage their profiles, updating essential details for a personalized experience.
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Telemedicine Convenience: Roshetta provides a virtual platform for remote consultations using chating, fostering accessibility and convenience.
To run the Roshetta app locally, follow these steps:
- Clone this repository to your local machine using the following command:
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git clone https://github.com/mostafaac30/roshetta-api.git
- Navigate to the project directory:
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cd roshetta-app
- Install the required dependencies using npm:
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npm install
- Start the application:
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npm start
- Access the app via your web browser at
http://localhost:6060.
We welcome contributions to enhance the Roshetta app. To contribute, follow these guidelines:
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Fork the repository and create your branch from the main branch.
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Make necessary changes and additions to the codebase.
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Test thoroughly and ensure the app runs without errors.
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Submit a pull request, and our team will review it.
If you encounter any issues or have questions, please feel free to open an issue. We value your feedback and are committed to continuous improvement.
Roshetta is licensed under the MIT License. You are free to use, modify, and distribute the app following the terms of this license.
We extend our gratitude to the open-source community and all the contributors who have made this project possible. Thank you for your support in advancing telemedicine accessibility.
Thanks for Abdulah Rabie