arpithaupd / Technocolab-Final-Project

This is the final project made during my internship in Technocolabs.

Home Page:http://music-genre-predict.herokuapp.com/

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Technocolab-Final-Project

Technocolab-Final-Project

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

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.

Tech Stack

  • Python
  • Numpy
  • Pandas
  • Seaborn
  • Sklearn
  • Flask
  • HTML
  • CSS

How to use?

Enter the relevant values in the form field and click Predict. You will get the prediction as well as a GIF depicting the genre.

Link to the website?

Sure here you go: Music Genre Predict

Project Report?

Sure view my findings here: Final Report

About

This is the final project made during my internship in Technocolabs.

http://music-genre-predict.herokuapp.com/


Languages

Language:Jupyter Notebook 91.6%Language:HTML 4.8%Language:CSS 2.3%Language:Python 1.3%