Voice-Based Smart Assistant System for Vehicles using RASA
This is an incremental application of existing chatbot technology to the domain of vehicle safety, aiming to reduce accidents caused by manual task execution while driving.
The paper tackles the problem of driver distraction by developing a voice-based smart assistant for vehicles using the RASA framework, which automates tasks like navigation, calls, weather updates, and music to improve road safety.
Conversational AIs, or chatbots, mimic human speech when conversing. Smart assistants facilitate the automation of several tasks that needed human intervention earlier. Because of their accuracy, absence of dependence on human resources, and accessibility around the clock, chatbots can be employed in vehicles too. Due to people's propensity to divert their attention away from the task of driving while engaging in other activities like calling, playing music, navigation, and getting updates on the weather forecast and latest news, road safety has declined and accidents have increased as a result. It would be advantageous to automate these tasks using voice commands rather than carrying them out manually. This paper focuses on the development of a voice-based smart assistance application for vehicles based on the RASA framework. The smart assistant provides functionalities like navigation, communication via calls, getting weather forecasts and the latest news updates, and music that are completely voice-based in nature.