https://github.com/oguzhantekeli06/spotifymoodanalyzer

A application integrated with a deep learning model to analyze and predict user moods based on Spotify listening habits.
https://github.com/oguzhantekeli06/spotifymoodanalyzer

asp-net-core csharp flask-api machine-learning mood-analysis mvc prediction spotify-api

Last synced: 2 months ago
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A application integrated with a deep learning model to analyze and predict user moods based on Spotify listening habits.

• Host: GitHub
• URL: https://github.com/oguzhantekeli06/spotifymoodanalyzer
• Owner: OguzhanTekeli06
• License: mit
• Created: 2024-08-27T08:40:29.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-12-25T18:55:09.000Z (6 months ago)
• Last Synced: 2024-12-25T19:29:12.163Z (6 months ago)
• Topics: asp-net-core, csharp, flask-api, machine-learning, mood-analysis, mvc, prediction, spotify-api
• Language: C#
• Homepage:
• Size: 12.8 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## 🎶 Spotify Mood Prediction with ASP.NET Core MVC & Flask API

This ASP.NET Core MVC application integrates with the Spotify API to fetch audio features of recently played tracks. It sends these features to a Flask API hosting a machine learning model, which predicts the user's mood (e.g., happy, sad) based on listening habits.

## 🔧 Features

Spotify API Integration: Retrieves audio features like valence, energy, and tempo.

Mood Prediction: Uses a Flask API model to predict emotional states.

Interactive Dashboard: Displays mood insights on the web interface.

## 📁 Project Structure

### ASP.NET Core MVC  

Model: There is no models for a now.   

View: ASP.NET Core MVC views display user mood predictions and data.    

Controller: Manages data flow between Spotify, Flask API, and the frontend.    

### FlaskApı

ModelApiPKL.py: Flask API hosts the machine learning model for mood prediction.    

mood_prediction_model.pkl: This file contains a machine learning model trained to predict users' moods. The model is trained on data derived from users' music listening habits and makes predictions about their emotional state.

## 🚀 Getting Started

Prerequisites

.NET SDK

Python & Flask

Spotify Developer Account

Clone the Repository

```

git clone https://github.com/OguzhanTekeli06/SpotifyMoodAnalyzer

```

Configure Spotify API. Set up Client ID and Secret in the app configuration.From your spotifyapi app.

```

python ModelApi.py

```

Start project

```

dotnet run

```

Usage

Log in via Spotify to fetch recent audio data.

The app displays your mood based on audio features.

## 🤖 Model Details

The Flask API model processes audio features for mood predictions using machine learning.

## 📜 License

Licensed under MIT.