[2308-CS230] 2020819696 (06) MUHAMMAD HAZIQ BIN AHMAD RAJI ‘Find Your Desired Coffee’: A Coffee Recommendation System Using Content-Based Filtering Technique

Welcome to Find Your Desired Coffee! This app is designed to help users discover and select delicious coffee drinks based on their preferences. This app is a part of my final year project as a Bachelor of Computer Science student in Universiti Teknologi MARA (UiTM) Malacca Campus Jasin Branch.

• [Features]
• [Setup]
  • [Recommendation Engine]
  • [Android App]
• [Usage]

• Receive personalized coffee drink recommendations based on user preferences.
• View details about each recommended coffee drink
• User-friendly interface for a seamless experience.

1. Clone this repository.
2. Navigate to the recommendation-engine directory: cd recommendation-engine.
3. Install the required Python packages: pip install -r requirements.txt.
4. Place your dataset CSV file containing coffee drink information in the same directory as api.py.
5. Run the Flask server: python api.py.
6. Note the server address (e.g., http://127.0.0.1:5000).

1. Open Android Studio.
2. Clone this repository if you haven't already.
3. Open the app directory.
4. Update ApiUtils.java with the Flask server address.
5. Build and run the app on an emulator or physical device.

1. Launch the app on your Android device.
2. Set your coffee preferences.
3. Click the "RECOMMEND A COFFEE" button.
4. View the recommended coffee drinks and their details.