{"id":19456671,"url":"https://github.com/alanjumeaucourt/hitorflop","last_synced_at":"2026-04-13T00:10:40.978Z","repository":{"id":207291164,"uuid":"718890222","full_name":"AlanJumeaucourt/hitorflop","owner":"AlanJumeaucourt","description":"Language modele that detect if a song include potential \"caracteristic\" of a HIT / top song","archived":false,"fork":false,"pushed_at":"2024-11-09T18:49:54.000Z","size":945,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-23T23:30:18.016Z","etag":null,"topics":["ai","cnn","docker","docker-compose","nextjs","python"],"latest_commit_sha":null,"homepage":"https://hitorflop.myfunnycluster.dynamic-dns.net/","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AlanJumeaucourt.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-11-15T01:59:38.000Z","updated_at":"2024-11-09T18:49:57.000Z","dependencies_parsed_at":"2023-11-15T03:27:44.893Z","dependency_job_id":"21f2ce05-e0e5-4bd1-9a90-bc29f188527f","html_url":"https://github.com/AlanJumeaucourt/hitorflop","commit_stats":null,"previous_names":["alanjumeaucourt/hitorflop"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlanJumeaucourt%2Fhitorflop","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlanJumeaucourt%2Fhitorflop/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlanJumeaucourt%2Fhitorflop/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlanJumeaucourt%2Fhitorflop/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AlanJumeaucourt","download_url":"https://codeload.github.com/AlanJumeaucourt/hitorflop/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240654154,"owners_count":19835854,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","cnn","docker","docker-compose","nextjs","python"],"created_at":"2024-11-10T17:18:09.532Z","updated_at":"2026-04-13T00:10:40.943Z","avatar_url":"https://github.com/AlanJumeaucourt.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Hit or Flop 🎵\n\nA production-ready AI system that uses convolutional neural networks to predict whether a song has the characteristics of a hit or a flop.\n\n## 🚀 Features\n\n- Real-time song prediction using Spotify's track data\n- Interactive web interface\n- Integration with Spotify's API\n- Containerized application using Docker\n- Neural network model trained on historical hit data\n\n## 🔍 How It Works\n\nThe 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.\n\n## 🎯 Demo\n\n### Homepage\n![Homepage](homepage.png)\n\n## 🛠️ Tech Stack\n\n- **Frontend**: React, TypeScript, Tailwind CSS\n- **Backend**: Python, FastAPI\n- **AI Model**: TensorFlow, Keras\n- **Infrastructure**: Docker, Docker Compose\n\n## 📝 Model Training\n\nThe neural network model was trained using a comprehensive dataset of historical music data. You can find the training notebook and methodology on Kaggle:\n[Spotify Hit or Flop Training Notebook](https://www.kaggle.com/code/alanjumeaucourt/spotify-hit-or-flop)\n\n## 🚀 Getting Started\n\n1. Clone the repository\n2. Create a `.env` file with your Spotify API credentials\n3. Run with Docker Compose:\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falanjumeaucourt%2Fhitorflop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falanjumeaucourt%2Fhitorflop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falanjumeaucourt%2Fhitorflop/lists"}