# Voice-Based Smart Assistant System for Vehicles using RASA

arXiv: https://arxiv.org/abs/2312.01642 · HTML: https://mlsanity.com/paper/2312.01642/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 22 references that are in the map.
- First posted on arXiv 4 Dec 2023.

## Builds on (most cited first, 4 of 4)

- [Neural Approaches to Conversational AI](https://mlsanity.com/paper/1809.08267/) (2018)
- [Rasa: Open Source Language Understanding and Dialogue Management](https://mlsanity.com/paper/1712.05181/) (2017)
- [Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline](https://mlsanity.com/paper/1907.05403/) (2019)
- [Building a Chatbot on a Closed Domain using RASA](https://mlsanity.com/paper/2208.06104/) (2022)

## Abstract (arXiv)

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.