Use this link to cite:
http://hdl.handle.net/2183/33991 Aplicación móvil para gestión de gastos personales
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Authors
González Guimeráns, Alberto
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Universidade da Coruña. Facultade de Informática
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Type of academic work
Academic degree
Abstract
[Resumen]: En la actualidad, para tener una salud financiera adecuada, es importante tener cierto control
sobre dónde y en qué se gasta el dinero. Además algunas compras se repiten de forma periódica,
y es interesante tener conocimiento sobre sus precios anteriores para decidir compras
futuras.
Para intentar dar solución a estas problemáticas, en este trabajo de fin de grado se diseña
e implementa una aplicación móvil mediante tecnologías Java / Javascript que facilite la gestión
de gastos personales. En particular, permite al usuario anotar todos sus gastos e ingresos
dividiéndolos en categorías y mediante su procesado, recuperar una serie de estadísticas que
el usuario pueda analizar. A mayores se da la opción de configurar movimientos recurrentes
que se formalicen con la periodicidad elegida por el usuario, y la exportación de los mismos
a Google Calendar. También da la opción de agrupar gastos e ingresos en el momento de su
creación en eventos, de los cuales también se pueden recuperar estadísticas.
Por otro lado, permite el seguimiento de precios a lo largo del tiempo de productos personalizados
de manera manual, y consultar información sobre la evolución de los mismos y
sus máximos y mínimos. Los precios de estos productos pueden asociarse a tiendas y filtrar
la información recuperada de un producto por dichas tiendas.
[Abstract]: Actually, in order to have adequate financial health, it is important to have some control over where and how much money is spent on. Some purchases are repeated periodically, and it is interesting to know about their previous prices to decide future purchases. To try to solve these problems, this final degree project will design and implement a mobile application using Java / Javascript technologies. The application will allow access through the Google login or by registering as a local user of the system that facilitates the management of personal expenses. In particular, it allows the user to write down all their expenses and income, dividing them into categories and, through their processing, recover a series of statistics that the user can analyze. In addition, there is the option of configuring recurring movements that are formalized with the periodicity chosen by the user and exporting them to Google Calendar. There is also the option of grouping expenses and income at the time of its creation into events from which statistics can also be retrieved. On the other hand, it allows the manually monitoring of prices over time of personalized products and consult information on their evolution and their maximus and minimous.The prices of these products can be associated with stores and filter the information retrieved for a product by those stores.
[Abstract]: Actually, in order to have adequate financial health, it is important to have some control over where and how much money is spent on. Some purchases are repeated periodically, and it is interesting to know about their previous prices to decide future purchases. To try to solve these problems, this final degree project will design and implement a mobile application using Java / Javascript technologies. The application will allow access through the Google login or by registering as a local user of the system that facilitates the management of personal expenses. In particular, it allows the user to write down all their expenses and income, dividing them into categories and, through their processing, recover a series of statistics that the user can analyze. In addition, there is the option of configuring recurring movements that are formalized with the periodicity chosen by the user and exporting them to Google Calendar. There is also the option of grouping expenses and income at the time of its creation into events from which statistics can also be retrieved. On the other hand, it allows the manually monitoring of prices over time of personalized products and consult information on their evolution and their maximus and minimous.The prices of these products can be associated with stores and filter the information retrieved for a product by those stores.
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