======Google Summer of Code 2024: Automotive Grade Linux projects======

[[:gsoc:google-summer-code-2024|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.
  * add file playback capability
  * visualize 4 signals (realtime and/or from playback)
  * stretch-goal: add IC keypad feature
  * stretch-goal: add power-control feature

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