Project Goal and Description: Given predefined taxonomy for classifying accounting items, the Project task is to create a model from training data via AI machine learning. It focuses on adding a type-ahead/auto-completion feature for the companies query. Eyob is using Moses tool, which is OpenCog’s open-source framework for training patterns to machines.Final output:After Eyob has designed and trained the system, it will be deployed to the company’s database and the system will be able to automatically classify new accounting items into their right category without any manual interaction.
Project Goal and Description: The Project Concept is to build a system that recommends the suitable game for kids from Zoodles’s online game store. Eskeneder uses open source recommender system called Oryx/Cloudera and by applying AI featured codes, it will be incorporated with Zoodles’s recommender system enhanced as content filtering recommender.
Final output: Once it is completed and trained the system will recommend games for kids based on previous records of games played by the same kid and the popular preference of other kids with similar personality.
The project is to design a system based on Moses, which is OpenCog’s open-source framework for training patterns to machines, that is capable of qualitative replication of De Magalhaes’s Next-generation sequencing (NGS) statistical analysis. It can be applied in any Next-generation sequencing implemented in aging research. Using Moses, the programmers will develop a better data analyser, data set evaluation pipeline and validation which will be the key factors to find the substances that potentially target the identified genes in the NGS phase.
Final output: Accurately trained system that will identify the right substances in the gene identifiers of the NGS will be incorporated to Stevia’s longevity research software.
The Project is to integrate Google’s application programming interface (API) to Neo4j.
Final output: Once Eskender upload the refined system to Infografs’s API, it will be able to recommend You tube channels in the Neo4j database.
Project Goal and Description: The Project aims to design a back end web service that collects data sent from pill dispensers (Known as MedElert) to servers, provides an interface that enables Pharmacists and Doctors to set the pill taking time for patients remotely and also informs their caretakers through text and voice message if (when) they fail to take their medicine.The project uses nodeJs as server side programming language, expressJs for MVC (mode view controller) framework and on the user interface side the programers use bootstrap giving the application a responsive feature independent of devices and browsers. Inconsideration of the future possibility which focuses on integrating the project with OpenCog, the programers build the database with a graph database (neo4j), which is friendly open source software for the OpenCog framework.
Final output: The final output will be a web service that manages medication of patients using the information feed from the Pill Dispenser.
Project Goal and Description:The project goal is to create a system which will facilitate a platform for meaningful, emotionally positive, easy to use exchange of services between two and more persons without monetary payment via the internet. The programer will use open source software like NeoRj on database and bootstrap. The application will be built using Django programing language.
Final Output: At the end, Eskender and his team will deliver an interactive website where users can team up in different projects and work together. The web will be able to match users, their interest, and their skill with the right kind of project.
Assigned Programmer-> Abel G/Slase, Dagmawi Moges, Dawit Abrahm and Tensae Birhan
Client-> iCog Labs
Project Schedule-> Started on March 2015. Dead line May 2017
The project goal is to develop a Teaching Tablet, which will feature a talking teacher avatar and a talking student avatar as well. The intended platform for these products is either Android, or Ubuntu Touch; it will start out with Android, and it will switch to Ubuntu Touch if Android proves problematic. The pilot-testing version, slated for release in 2016, will comprise novel educational software to run on existing low-cost Android tablets. The wide-release version, slated for 2017, will combine eye-friendly e-reader and video touchscreen capabilities, using newly available screen technology or custom dual-screen hardware.
The key components of the project will include
- Character programming (human-authored code or other content that determines what each avatar actually does, in response to user input)
- Avatar visualizer (the “game world” or similar in which the avatar is shown, and with which the user visually interacts)
- Controller (the software that actually runs the character programming via the avatar visualization software, and via the audio proxy)
- Audio proxy (the software that handles speech input/output, based on the particulars of the hardware device. The controller will send and receive sound files to/from it.)
- AI Engine (software that provides avatars with intelligence beyond what is specifically programmed in by humans as character programming)
Final Output: At the end of the project, iCog Labs will own an intelligent teaching tablet {brand name, YaNetu} which is uniquely innovative hardware/software device designed as a learning helper for school age children in sub-Saharan Africa.
Assigned Programmer-> Abenezer Nigusse, Israel Abebe, Eskender Besrat, Kidus Wendimagegn, Solomon Molla, Daniel Fikadu, and Dagim Sisay
Client-> For Sale
Company Contact->
Project Schedule-> Started on December 2015. Dead Line, April 2016
Project Goal and Description: The Project is to upgrade the current RoboSapien models’ hardware and software features in ways that will enable them to play soccer autonomously. The upgraded robots will be tried on the iCog Makers Initiative projects.
The Key components of the Project will include:
- Localization; each robot will identify its location respective to the playing field.
- Creating a platform through which team behavior could be developed.
- Enhancing the existing actuators and manipulators.
- Enhancing the Vision and communication system (camera placement and serial communication) the for the Android based hacking.
The programers will use C++ and Python as the programing language. OpenCog’s Moses will be integrated for the machine learning part. Open source software like OPenCV and ROS will also be implemented.
Final output: At the end of the project, iCog will own autonomous robots capable of playing soccer with features like self localization, and collective behavior generating algorithms.
