App Interface and Botanify APK

App Backend

• Plant Diagnosis: AI technology for diagnosing plant pests and diseases.
• Watering Reminder: Never forget to water your plants.
• Informative Articles: Access to information across various categories.

• Android

• Kotlin

• Jetpack Compose

• Dagger Hilt
• Firebase Realtime Database
• Firebase Storage
• Firebase Authentication
• Alarm Manager
• TFLite

• Android Studio installed
• Firebase project set up
• Node.js installed
• Python installed
• MySQL installed and running

1. Clone the main repository:

   git clone https://github.com/rfqagst/botanify.git

2. Clone the backend repository:

   git clone https://github.com/rfqagst/botanify_backend.git

1. Open the main project in Android Studio.
2. Sync the project with Gradle files.
3. Configure Firebase:
   • Add google-services.json to the app directory.
   • Enable Firebase Authentication, Realtime Database, and Storage in your Firebase project.
4. Build and run the application on your Android device or emulator.

1. Start MySQL on your computer.
2. Import the provided SQL dump into your MySQL database using the botanify.sql file:

   mysql -u your_username -p your_database_name < path_to_botanify.sql

1. Navigate to the botanify_mysql_backend folder in the backend repository:

   cd botanify_backend/botanify_mysql_backend

2. Install the necessary dependencies:

   npm install

3. Start the MySQL backend server:

   node index.js

1. Navigate to the scan_plant_backend folder in the backend repository:

   cd botanify_backend/scan_plant_backend

Create a new virtual environment with:

python -m venv new-env

Activate the virtual environment with:

• Windows

.\/new-env/Scripts/activate.bat 

Or

.\/new-env/Scripts/activate.ps1 

• Linux

source new-env/bin/activate

Install the required modules listed in requirements.txt with:

pip install -r requirements.txt

Wait until the installation is complete.

Create a .env file based on the example file .env.example. Fill in the .env file with your API_KEY and SCORING_URL:

API_KEY=YOUR_API_KEY # Find this in your IBM Cloud profile settings
SCORING_URL=YOUR_MODEL_DEPLOYMENT_URL # Find this in your model deployments in IBM Studio

Run the Flask backend with:

python app.py

Wait until it starts, the application will be live at localhost:5000.

Now your backend servers are running and your Android application should be able to interact with them.