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johnny-the-cybercar-assistant's Introduction

LINK DOWNLOAD TESI IN ITALIANO

CLICCA QUI

VIDEO DEMO FROM PC CLIENT

DemoCompress2.mp4

THIS REPO IS STILL A WORK IN PROGRESS

This repository is the main part of the project and thesis for deploying Johnny a full AI agent assistant running on your pc and reachable from your car with a dedicated hardware.

img-ZZRZglqFedHgg9lLELXRt

It is part of the following

Repositories

Cheshire Cat, the framework

Local whisper cat his local transcriber Plugin

Chattino The Arduino/Esp32 Client for embebbed and for the car application

Chatty The Python Client for pc usage and more

A CYBERCAR STUDY FROM THE EDGE TO THE CLOUD

(The original Thesis) TESI_IN_PDF_ITALIAN ONLY

Abstract

The thesis explores and verifies the state of the art for IoT, experimenting with and prototyping a Cybercar with a voice assistant on the vehicle. It uses edge computing for keyword spotting and cloud computing for hosting an open-source, multilingual, and customizable AI chatbot on a consumer GPU (GTX 1080 Ti). This system can interact with the user vocally and, when connected to the car's internal bus, can perceive the car's status.

A proof of concept, a prototype and a case study are presented, in addition to all the necessary hardware and software documentation. The study shows that it is possible with current technologies to make a common car smart, up to a level and depth that depends on the access to the internal dynamics of the car, accessible from the OBD-II debug port and using the protocols available on the bus.

[TODO] Introduction

A brief introduction to the project and the context of the thesis.

[TODO] Architecture

Description of the overall system architecture, including hardware and software components.

[TODO] Implementation

Details on the implementation of the system, both on the edge and cloud sides.

[TODO] Case Study

Description of the case study, including specifications and results.

[TODO] Conclusions

Final considerations and potential future developments of the project.

[TODO] Documentation

Complete documentation can be found in the docs directory.

[TODO] Hardware

All hardware details can be found in the hardware directory.

[TODO] Software

Source code and instructions for the software can be found in the software directory.

[TODO] Experiments

Descriptions and results of the conducted experiments can be found in the experiments directory.

HOW TO DEPLOY

[TODO] SETUP

Docker-Compose Script on the Cloud Machine

Will be added soon

[TODO] RUN

License

This repository is licensed under the GPL 3.0 License.

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