https://github.com/alanjumeaucourt/hitorflop

Language modele that detect if a song include potential "caracteristic" of a HIT / top song
https://github.com/alanjumeaucourt/hitorflop

ai cnn docker docker-compose nextjs python

Last synced: 10 days ago
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Language modele that detect if a song include potential "caracteristic" of a HIT / top song

• Host: GitHub
• URL: https://github.com/alanjumeaucourt/hitorflop
• Owner: AlanJumeaucourt
• Created: 2023-11-15T01:59:38.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-11-09T18:49:54.000Z (11 days ago)
• Last Synced: 2024-11-09T19:35:11.462Z (11 days ago)
• Topics: ai, cnn, docker, docker-compose, nextjs, python
• Language: TypeScript
• Homepage: https://hitorflop.myfunnycluster.dynamic-dns.net/
• Size: 350 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
# Hit or Flop 🎵

A production-ready AI system that uses convolutional neural networks to predict whether a song has the characteristics of a hit or a flop.

## 🚀 Features

- Real-time song prediction using Spotify's track data

- Interactive web interface

- Integration with Spotify's API

- Containerized application using Docker

- Neural network model trained on historical hit data

## 🔍 How It Works

The system analyzes various musical features of a track (such as danceability, energy, tempo, etc.) using Spotify's audio features API and processes them through our trained neural network to predict its hit potential.

## 🎯 Demo

### Homepage

![Homepage](homepage.png)

## 🛠️ Tech Stack

- **Frontend**: React, TypeScript, Tailwind CSS

- **Backend**: Python, FastAPI

- **AI Model**: TensorFlow, Keras

- **Infrastructure**: Docker, Docker Compose

## 📝 Model Training

The neural network model was trained using a comprehensive dataset of historical music data. You can find the training notebook and methodology on Kaggle:

[Spotify Hit or Flop Training Notebook](https://www.kaggle.com/code/alanjumeaucourt/spotify-hit-or-flop)

## 🚀 Getting Started

1. Clone the repository

2. Create a `.env` file with your Spotify API credentials

3. Run with Docker Compose: