The Android client of the enviroCar project helps users collect data about their tracks, including but not limited to, speed, fuel consumption and CO2 production. This data is obtained through an OBD-II adapter that the app connects to via Bluetooth. While there is plenty of data being collected from the adapter, a lot of it wasn’t being visualized. In addition to this, there were a few changes that I felt could be made to the application that would help improve the user experience.
The aim of this project was to improve the user interface of the enviroCar Android client in addition to introducing new functionality to help improve user retention. The user interface is being redesigned to make it more intuitive to use. Additional data that is available in the API is also being used for visualization.
The project I shall be working on during the GSoC period is the enviroCar Android project. This application collects data from an OBD II adapter that can be installed in automobiles. It communicates with the adapter through Bluetooth and stores data for each of the user’s tracks. This includes, but is not limited to, the speed of the car, its GPS location, the RPM, the data from the O2 sensors and the fuel consumption.
My goal is to improve the current user interface and the user experience, to make it more streamlined and fix a few issues that I have noticed while using the application. I believe that these changes can greatly improve user experience and user retention. more >
Currently, the Android application for enviroCar can record tracks only when it is connected to the OBD-II adapter through Bluetooth. The enviroCar app will be of no use to the user, if he/she does not have a working OBD-II adapter or if Bluetooth is not working on the user’s mobile phone. This limits the usage of the app to a great extent. The main goal of this project is to add plain GPS-based recording of a track to the enviroCar Android application. This will increase the usability of the enviroCar app and simultaneously increase the collection of data on the enviroCar server. It is also equally important to automate the GPS-based track, for which Activity Recognition features can be used.