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Google Summer of Code 2024: Automotive Grade Linux projects

Main GSoC Linux Foundation page: How to apply, deadlines, other workgroups, ...

Automotive Grade Linux Introduction

What is Automotive Grade Linux?

Automotive Grade Linux is a collaborative open source project that is bringing together automakers, suppliers and technology companies to accelerate the development and adoption of a fully open software stack for the connected car. With Linux at its core, AGL is developing an open platform from the ground up that can serve as the de facto industry standard to enable rapid development of new features and technologies.

AGL Community

Website - www.automotivelinux.org

Wiki – http://wiki.automotivelinux.org

Documentation (including getting started guide): https://docs.automotivelinux.org/en/master/#

Git - gerrit.automotivelinux.org

Mailing Lists - http://lists.automotivelinux.org/

IRC channel - #automotive on libera.chat

Code Licenses: mostly Apache 2.0, MIT for own code, otherwise as upstream

Primary Mentor contact: jsmoeller (at) linuxfoundation (dot) org

GSoC 2024 intro presentation: https://docs.google.com/presentation/d/1eo4Veo5b7HkNgRnL1MWfZcXNj89Hh5RdeBDSBf6bEaQ

Project Proposals

Task #1 (large/350h): Extend AGL's demo control panel

The AGL demo control panel is a pyQt (qml) application that is able to control the AGL demo homescreen.

Level of difficulty: intermediate

Requirements: QT, pyQT, QML, grpc, kuksa.val

Contact: jsmoeller (at) linuxfoundation.org

Task #2a (large/350h): Extend AGL's speech recognition app (Flutter app)

The AGL speech recognition app is a Flutter app that uses a speech recognition engine (vosk-kaldi) for the audio processing. This task is about adding the whisper (https://openai.com/research/whisper) framework as well.

Level of difficulty: intermediate

Requirements: python, flutter+dart

Contact: jsmoeller (at) linuxfoundation.org

Task #2b (large/350h): Extend speech recognition app with AI chatbot / AI intent engine

The AGL speech recognition app is a Flutter app that uses a speech recognition engine. It could be extended with an AI chatbot or an AI intent engine to execute API calls.

Level of difficulty: intermediate

Requirements: python, flutter+dart

Contact: jsmoeller (at) linuxfoundation.org

Task #3 (large/350h): Persistent storage API

This task is about to develop an grpc-API for AGL that serves as persistent storage API for the demo using e.g. sqlite as backend and another local engine (pluggable backends).

Level of difficulty: intermediate/difficult

Requirements: C/C++ or rust, grcp

Contact: jsmoeller (at) linuxfoundation.org

Task #4 YOUR OWN IDEA

Bring your own idea to extend the project.

Level of difficulty: tbd

Requirements: tbd

Contact: jsmoeller (at) linuxfoundation.org