The present subject matter relates to providing alerts to the driver based on comparison between the driver's driving behaviour and the general driving behavior. Driver presence is determined after which the driver is identified using identification attributes extracted. Further, data related to external environment to a vehicle is fetched. Based on the fetched external environment data an event is determined. Also, the driving behavior of the driver is compared with the general driving behavior for the vehicle. Based on the determined event and the deviations of driver's driving behavior from the general driving behavior, suggestive alert is generated for the driver of the vehicle. The intensity of the warning is varied based on severity of the event.