🖼️ Project Title:

🔍 "Emotion-Based Song Recommendation System Using Deep Learning"

📌 Project Description:


This project develops an AI-powered song recommendation system that recommends songs based on a user's emotions. The system utilizes Facial Emotion Recognition (FER) or Speech Emotion Recognition (SER) to detect emotions and suggests songs accordingly. CNNs, LSTMs, and audio processing models are used to classify emotions from images or audio recordings and map them to a music database.

🔹 Key Phases of the Project:

✔ Data Preprocessing –

  • For Facial Emotion Recognition (FER): Image processing using OpenCV, face detection, and emotion classification using a CNN model (e.g., VGG16 or ResNet).
  • For Speech Emotion Recognition (SER): Extracting MFCC, Mel Spectrogram, and Chroma features for emotion classification using CNN + LSTM models.

✔ Emotion Classification Model –

  • Implementing Deep Learning models (CNN for images, LSTM for audio) to detect emotions like Happy, Sad, Angry, Neutral, Excited, Relaxed.

✔ Music Recommendation System –

  • Mapping detected emotions to a predefined song dataset based on emotion labels.
  • Using Spotify API, YouTube API, or a local database to recommend songs.
  • Implementing a collaborative filtering or content-based filtering algorithm for personalized song suggestions.

✔ Deployment –

  • Building a user-friendly web app using Flask, FastAPI, or Gradio.
  • Allowing users to upload an image, record audio, or use a webcam/microphone for real-time recommendations.

📂 Project Deliverables:

✅ 📊 Professional PPT – A well-structured, visually appealing presentation explaining AI-based emotion recognition & music recommendation.

✅ 📁 Dataset & Source Code –

  • Preprocessed Facial Expression dataset (FER2013, CK+, etc.)
  • Preprocessed Speech Emotion dataset (RAVDESS, CREMA-D, etc.)
  • Fully functional deep learning models for emotion detection and music recommendation.

💰 Project Price: ₹7,500/-
A cutting-edge AI project integrating Computer Vision, NLP, and Recommendation Systems. 🚀

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