Invest Windsor Essex wants to speed up the transition from conventional gas vehicles to zero-emission vehicles which help to protect the environment. In order to do that, they’re looking for ways to optimize the availability of electric vehicle chargers in the region.

Our app allows us to place custom markers for electric chargers on the map where they can be installed in the future. Additionally, it also helps us to look at existing charging stations in Windsor so that the user can navigate to their nearest power point. Using machine learning we can also predict whether a location is suitable to have a public charging station or not.

• The app is built using Flutter
• Data Analysis and prediction has been done using Python with libraries such as geopandas, sklearn etc

• Integrating google maps with custom pointers in Flutter
• Utilising geolocation as a feature for machine learning prediction

• Learned to develop apps through flutter workshop
• Got to know Open Street Maps and geospatial machine learning

• Using maps and associated machine learning techniques
• Debugging flutter apps

• Complete our prediction model with real charging station data and integrate the model into our app

• To know more about the challenge visit The challenge pdf
• Or take a look at Devpost

• Vidhi Gupta
• Abdul Arif
• Faraz Naseem