- Play Store (Android): https://play.google.com/store/apps/details?id=com.flarize.musiemotion&hl=en
- iOS version coming soon!
[✔️] Five Different Emotion Options - Happy 
| Neutral 
| Meh 
| Down 
| Frustrated 
[✔️] Feeling Lucky 🍀 Option for a Lucky Recommendation
[✔️] Song Recommendation Data Retrieval using HTTP 🌐 and the Dedicated Back-End API
[✔️] Spotify OAuth Access Token 🔐 Authentication using Client Credentials Flow for Album Art 🖼️ Retrieval
[✔️] Spotify Redirection 🎧 to Listen to the Desired Recommendation
[✔️] Clean BLoC Architecture Implementation
[✔️] Full Utilization of Provider
[✔️] Network Connectivity🌐 Checking
[✔️] Easy-to-Follow User Interface
Spotify Dataset Link: https://www.kaggle.com/yamaerenay/spotify-dataset-19212020-160k-tracks
[✔️] Data preprocessing and segmentation using Python
[✔️] Emotion Classification and Labeling using K-Means Clustering
[✔️] API Deployment using Flask and Heroku @ https://musiemotion.herokuapp.com/(Emotion)/(NumberOfRecommendationsNeeded)
[✔️] Data Representation in JSON format
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Initiating Enviroment Variables
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Create a .env file in the root directory of your Flutter project
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The .env should include your Spotify for Developers App's Client ID and Client Secret in the following format:
CLIENTID=<Your Client ID> CLIENTSECRET=<Your Client Secret>
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- No data is collected from the user nor the developer. The .env should be included in the .gitignore file when commiting
- The first data retrieval process will take up to one minute for the Heroku enviroment to initialize
- The normal recommendation retrieval process should not take more than 1 second
[🔮] Recommendation List Sorting Based on Different Parameters (Popularity, Duration, etc...)
[🔮] More Emotions
[🔮] Error Handeling
