A USER FRIENDLY NAVIGATION SYSTEM FOR PACING URBANIZATION

Navigation through online map has become an immutable one for various people ranging from travelers to any peer to peer ride sharing services. The dynamic urbanization makes the existing navigation applications to stand behind the need of the user. The gap identified can be reduced by regularly updating the map. The paper presents a method to update the map based on features extracted from the images which were uploaded to the cloud server by the users. The four features extracted from the images are category of place, written content, latitude and longitude. The CNN model is used for prediction and the predicted image is plotted in the map using latitude and longitude as X axis and Y axis. A cloud server is used to store the uploaded images, run the prediction model and update the single map which can be accessed by all the users. Google drive, jupyter notebook and google spreadsheet were used in the prototype for storage, feature extraction and mapping process of the images.