Smart Tour Guide Service System Using Deep Learning and Voice Chatbot | ||
| Journal of the ACS Advances in Computer Science | ||
| Volume 15, Issue 1, 2024 PDF (849.46 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/asc.2024.318690.1023 | ||
| Author | ||
| Marwa Mustafa* | ||
| The Higher Institute of Computers and Information Technology, Computer Science Department, El Shorouk Academy, Cairo, Egypt | ||
| Abstract | ||
| One of the challenges facing the tourism sector is the lack of accuracy in information provided by ordinary tour guides or their unfamiliarity with these places and their history. This can result in poor experiences, high costs, limited options, and a lack of awareness about relevant attractions for tourists. Mobile phones are now widely available, and almost everyone owns one. An application for mobile phones has been developed using the Flutter framework. Tourist attractions related to the type of tourism that the tourist is visiting are displayed using GPS and Maps, integrated into the application. The exceptional progress in Artificial Intelligence (AI), like deep learning, plays a significant role. It is powerful in image recognition, algorithms such as convolutional neural networks (CNNs). The Horus dataset, consisting of 1025 images, has been collected, processed, and categorized into ten classes, each representing a specific statue. CNNs has been implemented on the data, achieving an accuracy of 99.88%. The evaluation of the model's performance using precision, recall, and F1 score is all 99.5%. The system uniquely integrates several advanced technologies to enhance the tourism experience, including a QR code scanner for locations where photography is prohibited, and an AI-powered voice chatbot for providing accurate and reliable information. The system uniquely combines convolutional neural networks (CNNs) for precise image recognition with real-time, interactive assistance through voice chat, addressing challenges such as accessibility, accuracy, and cultural sensitivities. This innovative approach offers personalized and up-to-date information, significantly improving the overall tourism experience. The application combines user-friendly features and adaptable AI technologies, making it accessible to non-technical users and scalable for diverse regions and tourism types worldwide. The goal is to provide an enjoyable, easy, and knowledge-rich experience in line with Egypt's Vision 2030, with Egypt's focus on technological improvement in the tourism sector. | ||
| Keywords | ||
| Artificial Intelligence (AI); Deep Learning; convolutional neural networks (CNNs); Voice Chatbot | ||
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