{"id":21076859,"url":"https://github.com/ronibandini/horrorvacui","last_synced_at":"2026-04-29T13:36:41.810Z","repository":{"id":165518455,"uuid":"640886506","full_name":"ronibandini/horrorVacui","owner":"ronibandini","description":"Device to spot and count filled silences by speakers “Um,” “Ah,” and “You Know”","archived":false,"fork":false,"pushed_at":"2023-05-16T18:48:59.000Z","size":12240,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-02T05:55:15.862Z","etag":null,"topics":["arduino","mic","oled","speaker"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ronibandini.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2023-05-15T10:35:16.000Z","updated_at":"2023-11-07T12:49:02.000Z","dependencies_parsed_at":null,"dependency_job_id":"62313adf-d589-4e58-b18f-63f2a04b231c","html_url":"https://github.com/ronibandini/horrorVacui","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ronibandini/horrorVacui","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FhorrorVacui","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FhorrorVacui/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FhorrorVacui/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FhorrorVacui/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ronibandini","download_url":"https://codeload.github.com/ronibandini/horrorVacui/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ronibandini%2FhorrorVacui/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32427944,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T13:34:34.882Z","status":"ssl_error","status_checked_at":"2026-04-29T13:34:29.830Z","response_time":110,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["arduino","mic","oled","speaker"],"created_at":"2024-11-19T19:33:41.898Z","updated_at":"2026-04-29T13:36:41.782Z","avatar_url":"https://github.com/ronibandini.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# horrorVacui\nSistema de inteligencia artificial para detectar el rellenado de silencios que suelen llevar a cabo los oradores. El dispositivo muestrea fragmentos de audio y los envia al modelo entrenado para su inferencia bajo un algoritmo de clasificación. En el caso de superar cierto límite de detección, suma un contador que es mostrado en pantalla.\n\nFue desarrollado para la charla de Inteligencia Artificial de TICMAS y UCA Rosario \"La transformación digital... sin limites\"\n\nEste repositorio solo es de utilidad en el caso que quieran replicar el dispositivo con Arduino. Si quieren entrenar un modelo de Machine Learning desde 0 y probarlo desde la computadora, estos archivos e instrucciones no son necesario.\n\n# Partes\nArduino Nano BLE 33 Sense\nPantalla Oled DFRobot 0.91 (la pantalla se conecta con los pins SDA A4 y SCL A5, Vin a VCC y GND a Ground)\n\n# Librerías\nEs necesario instalar la librería U8g2lib.h para la pantalla Oled y la librería del modelo entrenado en Edge Impulse (contenida en este repositorio)\n\n# Contacto\nRoni Bandini @ronibandini\nMayo de 2023\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fronibandini%2Fhorrorvacui","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fronibandini%2Fhorrorvacui","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fronibandini%2Fhorrorvacui/lists"}