This is the final project made during my internship in Technocolabs. In this project, we were given two files, a CSV file containing data about music track title, composer, label, and many other features including track genre. The JSON file consists of technical details about a soundtrack including valence and danceability.

We were given the task to build a classifier for this dataset which was highly unbalanced and then deploying that model to any of the cloud services.

Sure, here you go: Music Genre Predict

• Python (Langauge)
• Libraries:
  • Numpy (Data Manipulation)
  • Pandas (Data Manipulation)
  • Seaborn (Data Visualization)
  • Sklearn (Model Building)
  • Flask (Model Deployment)
  • HTML (Web interface)
  • CSS (Web enhancement)
• Heroku (Website Deployment)