Summer of Code/2014

Students: See our guide on |how to participate in Google Summer of Code for more information.

Project candidates

In the table below is list of projects potential participants might contribute within GSoC program.

Note

Potential mentors, please feel free to add ideas to this list. Also, feel free to add your name to a project you'd be willing to co-mentor.

Note

Potential students, more project ideas can be found on our Features page.

Sugar Core

	Title	Mentor	Project
	Port to Python3	Walter Bender and Daniel Narvaez	Brief explanation There are many reasons to port Sugar to Python 3, not the least being its support for internationalization (unicode) is greatly improved over Python 2 (Very important as we have users in >100 languages). There is a good discussion of strategies here. The first task will be to work with the core developer team to decide on a strategy: writing Python 2/3 compatible source or a pure port. Once that decision is made, the remainder of the work will be to do the port itself. Developing a robust test suite is a must. Expected results Support for Python 3 in Sugar Core and a Porting Guide for Sugar Activities. Knowledge Prerequisite Strong background in Python
	Activity Unit Tests	Walter Bender and Daniel Narvaez	Brief explanation While we have been vigilant about developing tests for most of Sugar core, we have only just begun to scratch the surface regarding test suites for Sugar activities. This project is to develop unit and UI test suites for all of the "Fructose" activities – those activities that are shipped as part of every Sugar distribution. Expected results A suite of unit and UI tests for the Fructose Activities and a Testing Guide for Sugar Activities. Knowledge Prerequisite Strong background in Python, GTK3
	JavaScript Collaboration for Sugar	Manuel Quiñones	Brief explanation Sugar has promoted JavaScript/HTML5 to be a first-class development language, on par with Python. Lots of work to do to make this ready for prime time. Specific to this project is the development of a collaboration model that includes both the mechanisms for identifying potential collaborators and the mechanisms for sharing between activities. The first step is to agree upon a collaboration strategy with the developer team; then implement that strategy. Expected results Rich, intuitive collaboration between JavaScript Activities and an update Guide for Developing Sugar Activities in JavaScript. Knowledge Prerequisite Strong background in JavaScript
	Cordova/PhoneGap container for Sugar	Lionel Laské	Brief explanation The idea is to allow Sugar Web Activities to use device dependent features. In this objective, the project will be to transform Sugar into a Cordova/PhoneGap container and to implement major PhoneGap features. Shortly, the project is to add Sugar as new supported platform for Cordova/PhoneGap. Lists of Sugar features that could be exposed to Sugar Web Activities using Cordova/PhoneGap will be: Camera, Audio/Video capture, Accelerometer, Connection, Events, File, Globalization, Media. During the project, the student will also have to demonstrate its work by writing some sample activities using device features. Examples of activities include a Record-like activity or a Level-Tool-like activity. Expected results Rich media and sensor support for JavaScript Activities and an update to the Guide for Developing Sugar Activities in JavaScript to reflect the new APIs. Knowledge Prerequisite Strong background in JavaScript
	Voice Interface	Martin Abente Lahaye	Brief explanation Speech-recognition technologies are interaction mechanisms that, nowadays, have evolved from "alternative" to "extended". Proof of this is the proliferation of such technologies in a wide range of domains. From smartphones assistants, medical-record transcriptions, smart cars, and TV command controls to many others. In this regard, not much have been seen in the education domain. This is could be due the fact that there is still a missing glue between the speech-recognition technologies and educational content developers. This project is about filling the gap –within the Sugar Learning Platform. Expected results put together a speech-recognition engine that allow us to deploy it in offline scenarios (i.e., using PocketSphinx and Voxforge projects); define a general architecture that will allow us to provide high-level speech-recognition functionality to the Sugar core and activities (i.e., exposing this engine as a DBus service); finding acceptable solutions that will allow us to add new content and being able to handle different languages. Knowledge Prerequisite Strong background in Python; some experience with either PocketSphinx or Voxforge
	Assistive Interface	Andres Aguirre	Brief explanation Alternative input devices allow individuals to control their computers through means other than a standard keyboard or pointing device. Examples include smaller or larger keyboards, eye-gaze pointing devices, and sip-and-puff systems controlled by breathing. Using a base sensor package, the goal of this project is to provide an alternative physical-sensor interface to the Sugar desktop for people with limited motor control. The project will require an intervention into both the Sugar toolkit and Sugar core to ensure that the necessary hooks for ATSPI. The first task will be to survey the Sugar suite to find holes in the UI; the second task is to develop a work plan in conjunction with the Sugar developer community; the third task is to implement that plan; finally, arrange with the mentor to deploy the results with our target audience for feedback. Expected results Expanded coverage of ATSPI throughout Sugar Core; a working prototype that can be tested in the field; an Assistive Technology Guide for Sugar Activity Developers Knowledge Prerequisite Strong background in Python, GTK3, and Atspi; some electronics background would also be useful.

Sugar Activities

	Title	Mentor	Project
	Turtle Art 3D	Walter Bender, Antonio Battro, Horacio Reggini	Brief explanation Sugar is lacking any 3D programming environments. This project would be to develop such an environment. There is a rich program in 3D Logo developed by Horacio Reggini [1]. The specific project would be to write an extension to Turtle Blocks to encompass Reggini's ideas. Expected results A new Turtle Art plugin that adds basic 3D transforms to Turtle Blocks (e.g., setxyz, pitch, roll, yaw); camera and lighting models; surface texture mapping; and a rich set of example projects. A bonus would be a plugin for generating objects for MineCraft. Knowledge prerequisite Python and some 3D graphics (3D transform) experience.
	Music Suite	Gonzalo Odiard	Brief explanation Sugar's primary music offering, the TamTam suite, is woefully inadequate with touch interfaces. The goal of this project is to rewrite the suite to use the underlying mechanisms demonstrated in the touch-friendly Music Keyboard activity. Expected results Touch-friendly replacements for TamTamMini, TamTamJam, TamTamEdit, and TamTamSynthesizerLab. Knowledge prerequisite Python and digital audio experience (CSound a real plus).
	Video Editing Suite	Gonzalo Odiard	Brief explanation Sugar need a simple activity to process video. The interface should be simple and need run in a device with low computational and storage resources as the OLPC XO or Intel Classmate. Limited screen real estate must also be a consideration. Expected results A new Sugar activity for rich media editing and an extension to the Sugar toolkit for generating video from data within existing Sugar activities such as FotoToons and Portfolio. Knowledge prerequisite Strong background in Python, GTK and GStreamer.
	Assistive Robots	Alan Alguar	Brief explanation In conjunction with the Assitive Interface project, the goal of this project is to provide a physical sensor interface to the Sugar robots suite (Turtle Bots) for people with limited motor control. Expected results We have access to a target population of children with special needs that would love to work with robotics. We expect an adaption of the Turtle Bots (Turtle Blocks) interface to support programming through a simple pointing device to be deployed with this population and to solicit feedback on the intervention. Knowledge prerequisite Strong background in Python programming.