Music Genre Classification

Introducing our Music Genre Classification Project! 🎶
🔍 The project aims at developing a robust machine learning model that accurately classifies songs and tunes in music genres like metal, jazz, pop, and more. Using Python and the GTZAN dataset, we leverage the power of Convolutional Neural Networks (CNN) for precise genre classification.

📈 Workflow:
1️⃣ Import audio files from the dataset.
2️⃣ Generate spectrograms from the files.
3️⃣ Feed spectrograms into the CNN for feature extraction.
4️⃣ Utilize a fully connected layer for classification.
5️⃣ Achieve accurate genre classifications for metal, jazz, pop, and more.

Team Members:
Atul
Rutvik Kulkarn
Hetal Solank
Harshit Dehliwal
Agam Pandey

Team Mentors:
Soumyadeep Ghosh
Joel Vijo
Harsh Sharma
Rajashree Tekadey