DRISA: AI Voice Assistant

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Mustafa Kemal Kaya  •  Ezginur Cendik  •  Ekin Yilmaz
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In today's fast-paced world, technology has become an indispensable part of our lives, revolutionizing the way we work, communicate, and travel. With the increasing number of drivers relying on mobile devices for navigation and entertainment, there is a growing need for a smarter and more intuitive driving companion. This software project aims to address this need by developing a mobile app with an integrated AI voice assistant specifically designed for drivers. The primary goal of this project is to enhance the driving experience by providing a comprehensive and user-friendly solution that combines the power of artificial intelligence, mapping services, and entertainment platforms. The AI voice assistant will act as a reliable co-pilot, offering a range of functionalities and services to assist drivers during their journeys.
By integrating popular services such as Google Maps, Spotify, Waze, and ChatGPT the mobile app will offer seamless navigation, personalized music streaming, real-time traffic updates, and access to relevant information about the driver's current location. Moreover, it will go beyond the basic functionalities by providing insights into nearby restaurants, public facilities, and cultural or historical points of interest, making each trip an enriching and enjoyable experience. The significance of this project lies in its ability to streamline and simplify the driving experience, allowing drivers to focus on the road while effortlessly accessing the information they need. Whether it's finding the nearest gas station, learning about the historical landmarks along the route, or enjoying their favorite music, drivers can accomplish all these tasks through voice commands, minimizing distractions and promoting safer driving practices.
In addition to everything mentioned, it can help the users for decision making. Bayesian reasoning can help us model and update probabilities based on new evidence, allowing us to make informed decisions about driver safety measures. For example, if the system receives conflicting information about a road condition.
Throughout this document, we will delve into the various aspects of this software project, including the design considerations, integration of the AI voice assistant, functionalities and features, technical implementation, testing strategies, and deployment plans. By creating a mobile app that combines intelligent voice interactions with essential services, we aim to redefine the way drivers navigate, discover, and enjoy their journeys.

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