Inteligentní asistent pro plánování a podporu volnočasových aktivit
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Vysoká škola báňská – Technická univerzita Ostrava
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This bachelor’s thesis focuses on the development and implementation of an Android application designed to help users plan and spend their leisure time. The application uses maps and open data to search and display suitable locations and establishments. A key feature is the recommendation system, which provides personalized suggestions based on user data. The developed solution also offers group and friend management, as well as a safety feature for sharing location in emergency situations. The result of this work is a functioning system deployed on a test server, which is necessary for testing, data collection, and training the neural network to optimize recommendations.
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mobile applications, Android, planning and support of leisure time, neural networks, safety mode