{"id":55,"date":"2022-05-07T07:05:02","date_gmt":"2022-05-07T07:05:02","guid":{"rendered":"https:\/\/porfolio.thatta.es\/?page_id=55"},"modified":"2022-05-10T03:28:37","modified_gmt":"2022-05-10T03:28:37","slug":"diccionario-rimas","status":"publish","type":"page","link":"https:\/\/porfolio.thatta.es\/?page_id=55","title":{"rendered":"Diccionario de rimas"},"content":{"rendered":"

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Diccionario de rimas r\u00e1pido y potente<\/h1>\n

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Aplicaci\u00f3n en producci\u00f3n que localiza rimas de palabras<\/p>\n

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Resumen t\u00e9cnico del proyecto<\/h2>\n

La app se ha desarrollado en Android Studio con c\u00f3digo h\u00edbrido Java – Kotlin ya que la separaci\u00f3n sil\u00e1bica y selecci\u00f3n de la s\u00edlaba t\u00f3nica de las palabras la realiza una clase desarrollada en Java.<\/p>\n

La base de datos parti\u00f3 de un .txt obtenido de la RAE el cual fue procesado con python para serializar los datos y organizar las s\u00edlabas para optimizar al m\u00e1ximo las consultas. La base de datos tiene una estructura creativa que permite al algoritmo principal de la app localizar las rimas necesarias mediante consultas sql de forma sencilla.<\/p>\n

La UI implementa componentes de Material Design resultando sencilla e intuitiva respecto a la usabilidad.<\/p>\n

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An\u00e1lisis previo<\/h2>\n

Realic\u00e9 un estudio de los comentarios y rese\u00f1as de aplicaciones similares disponibles antes de comenzar el desarrollo y de esta manera obtuve informaci\u00f3n relevante para la soluci\u00f3n de problemas que las actuales apps disponibles presentaban. Tras enumerar los problemas repetidos e individuales del resto de software similar reportados por los usuarios as\u00ed como quejas o alagos a las funciones disponibles comenc\u00e9 el desarrollo el cual se llev\u00f3 a cabo en aproximadamente 15 horas para una primera versi\u00f3n funcional.<\/p>\n

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Funcionalidad<\/h2>\n

La app presenta una interfaz sencilla que simplifica el uso. Era necesario que la app no descargase la base de datos en cada arranque o incluso en cada b\u00fasqueda (presentado en apps similares), por ello se emplea una db prepoblada SQLite y evitar el uso innecesario de conexi\u00f3n.<\/p>\n

Otro problema presentado en otros softwares parecidos era que las apps cargan en la RAM del dispositivo el diccionario entero para realizar la b\u00fasqueda, lo cual resulta en una inestabilidad enorme en dispositivos con media – baja potencia.<\/p>\n

Los usuarios demandaban en su mayor\u00eda la funci\u00f3n de scroll en los resultados lo cual he implementado por la sencillez de los datos (un solo string) en ListView.<\/p>\n

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\u00a1Prueba la app!<\/em><\/strong><\/h1>\n

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Diccionario de rimas r\u00e1pido y potenteAplicaci\u00f3n en producci\u00f3n que localiza rimas de palabrasResumen t\u00e9cnico del proyecto La app se ha desarrollado en Android Studio con c\u00f3digo h\u00edbrido Java – Kotlin ya que la separaci\u00f3n sil\u00e1bica y selecci\u00f3n de la s\u00edlaba t\u00f3nica de las palabras la realiza una clase desarrollada en Java. La base de datos […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-55","page","type-page","status-publish","hentry"],"yoast_head":"\nDiccionario de rimas - Porfolio personal<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Diccionario de rimas - Porfolio personal\" \/>\n<meta property=\"og:description\" content=\"Diccionario de rimas r\u00e1pido y potenteAplicaci\u00f3n en producci\u00f3n que localiza rimas de palabrasResumen t\u00e9cnico del proyecto La app se ha desarrollado en Android Studio con c\u00f3digo h\u00edbrido Java - Kotlin ya que la separaci\u00f3n sil\u00e1bica y selecci\u00f3n de la s\u00edlaba t\u00f3nica de las palabras la realiza una clase desarrollada en Java. 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