➤ MedAyu

MedAyu is an Android application that consists of multiple modules, including:

1. Ayurvedic plant detection based on leafs:

   • It uses a deep learning CNN model to predict the plant name based on leaf images.

2. Disease prediction based on user symptoms:

   • This module takes user symptoms as input and predicts diseases using machine learning models.
   • It provides information about the disease, home remedies, and details about plants that can be beneficial.

The application utilizes multiple APIs returned in Flask, and it also uses Firebase Realtime Database for storing data.

➤ Backend Repositories

• MedAyu Symptoms API: https://github.com/shoaib749/MedAyu-symptom-Api.git
• MedAyu Leaf Classification: https://github.com/shoaib749/flask.git

➤ Setup Instructions in Android Studio

To set up the MedAyu application in Android Studio, follow these steps:

1. Clone the repository for the MedAyu application from the provided GitHub link.

2. Open Android Studio and select "Open an Existing Project.

3. Browse and select the cloned MedAyu project folder.

4. Once the project is loaded, ensure that all the required dependencies are installed. You can check the build.gradle file for the project's dependencies.

5. If any dependencies are missing, Android Studio will prompt you to install them. Click on the "Install" button to automatically download and install the required dependencies.

6. Once all the dependencies are successfully installed, you can build and run the MedAyu application on an Android device or emulator from Android Studio.

Please note that the above instructions are general guidelines, and the specific steps may vary depending on your Android Studio version and project configuration.

Feel free to reach out if you have any further questions!

➤ Output