Track&Go: A location prediction web application

Location prediction is currently gaining attention due to the increasing number of applications in travel, military etc. This work focusses on creating a web application that generates a predictive model with the tracking data of user that identifies user's destination, given current location, date and time. Location history is obtained from Moves tracking app. The data is fed into a Random Forest Classifier which predicts the destination. Track&Go app allows the user to plan their travel ahead by providing a route for the destination and facilities near the location and also routes to these locations with the help of Google Maps. The web application itself is created using Django, a python web framework.