Smart Local Navigation System using AI and Machine Learning Techniques

Nowadays structures of hospitals, colleges, railway stations, malls, other privately and government owned enterprises are getting complex due to this people get confused. People who are visiting these infrastructures for the first time and are not aware of these complex structures get confused and stuck. The existing approaches don’t provide exact information indoors using GPS, visual Simultaneous Localization and Mapping (SLAM) and inertial sensors. Our approach is to minimize the complexity of the indoor infrastructures and their surroundings and deliver a fast and user-friendly path using AIML our approach suggests shortest and accurate path. As the user uses the system ML model learns the user behaviour and improves its navigation accuracy. In our approach user can enter his current location and destination then our system gives navigation instructions using 2D and 3D view using Augmented Reality (AR), therefore it is easy to understand the directions given through AR. AI can detect the crowds and obstacles therefore it reduces congestion, time and increases safety thus providing an intelligent and reliable solution to the user. This approach is useful to initiate smart cities and a digital nation.