The HealthTracker web application is designed to streamline the appointment scheduling process for both patients and doctors while also incorporating a symptom-based disease prediction feature. This comprehensive solution aims to enhance the overall healthcare experience for users.

1. Appointment Management:

   • Patients can easily schedule, reschedule, or cancel appointments.
   • Doctors can view their upcoming appointments and manage their availability.

2. User-friendly Interface:

   • Intuitive and responsive design for a seamless user experience.
   • Easy navigation and accessibility for patients and doctors.

3. Disease Prediction:

   • Utilizes a machine learning model to predict potential diseases based on entered symptoms.
   • Provides users with preliminary information, encouraging proactive healthcare.

4. Secure User Authentication:

   • Implements secure authentication to ensure the privacy and confidentiality of patient and doctor information.

5. Notifications:

   • Sends appointment reminders and notifications for upcoming scheduled appointments.

6. Search and Filter:

   • Allows patients to search for specific doctors based on specialization, location, and availability.
   • Enables doctors to search for patients and view their medical history.

• Frontend:

  • HTML5, CSS3, JavaScript

• Backend:

  • Firebase

• Machine Learning:

  • Integration of a machine learning model for disease prediction based on symptoms

• Authentication:

  • Firebase

We welcome contributions from the community. If you'd like to contribute to the development of HealthTracker, please follow our contribution guidelines.

This project is licensed under the MIT License.

For any inquiries or support, please contact us at [email protected].

Thank you for choosing HealthTracker! We hope it brings efficiency and convenience to your healthcare experience.