Navigation has become an integral part of today’s society. Many people use devices such as smartphones to get direction in and out of unfamiliar environments. People have come to rely on these devices as it helps them get to their destination with ease. However, there are limitations when it comes to navigating indoors when compared to outdoors. The technology used for outdoor navigation becomes inaccurate when it comes to indoor navigation. The problem escalates when people with navigation impairments such as blindness or mobility impairment are unable to follow a route to get to their destination that’s indoors. Such unreliability causes inconvenience and losses to clients. This thesis showcases a navigation application using called CityGuide which is an iOS based indoor way finding solution that can help people navigate indoor environments with ease. The application targets accessibility groups such as people with visual impairments and people with mobility impairment, by providing them with a rich user experience while it tries to direct them to their destination. The project uses a localized server in order to have complete control over the data being transferred to and from the application making the app more independent and the hardware installation cheaper for the long term. The app uses algorithms and approaches to find the shortest path to the destination and also applies additional features such as haptic feedback, re-routing function, instructional dictation of the path and by being voice over friendly. The navigation model introduced is reliable, cheap, and easy to install and allows organizations to implement better accessibility features in their indoor space.