IT Challenge 2019

The Challenge is split into 5 main phases:

Idea
Submission

Until Nov 30, 2018

Come up with an innovative concept for an application based on Machine Learning for Sustainability

First
Jury

Dec 1, 2018 - Dec 19, 2018

First Jury made up of the Atos’ Scientific Community members selects the 15 best concepts.

App
Development

Dec 20, 2018 - Apr 25, 2019

15 shortlisted teams work on their app development with the help of an Atos’ coach

App Testing
& Final Jury

Apr 26, 2019 - May, 2019

The 15 teams pitch their ideas in front of a Final Jury selecting the 3 best teams.

Awards
Ceremony

Jul, 2019

The 3 finalists are invited in Paris for the Awards Ceremony.

The 15 shortlisted teams

Flag of Singapore

check IT

Nanyang Technological University

The main aim of our project is to deal with the sustainability of grocery shopping and food wastage from disposing of expired groceries. Aided by…

Shortlisted
Flag of Malaysia

Deep learning Approach for identifying signatures for Ovarian Serous Cystadenocarcinoma

Universiti Kebangsaan Malaysia

Ovarian cancer is a complex disease which has yet been fully understood. Thus, the diagnosis and treatment of ovarian cancer remain poor. This has led…

Shortlisted
Flag of India

DIABETIC RETINOPATHY SYMPTOMS MANAGEMENT AND QUICK IDENTIFICATION ANALYSIS TO PREVENT BLINDNESS

vel tech Multitech Dr.Rangarajan Dr.Sakunthala Engineering college

The consequence of diabetes on the eyeball is called Diabetic Retinopathy (DR). It is notorious to damage the small blood vessel of the retinaldehyde an…

Shortlisted
Flag of Spain

binSight

Universidad de Cantabria

Food waste is, as of today, one of the main sustainability issues society faces. United Nations Sustainable Development Goals [https://www.un.org/sustainabledevelopment/sustainable-development-goals/] acknowledge this in Goal 12.3,…

Shortlisted
Flag of India

CropCap

RTMNU, Nagpur university

Real time identification of crops, diseases and pest damage along with nutrients deficiency symptoms using Phone image recognition algorithm and artificial intelligence to predict the…

Shortlisted
Flag of United Kingdom

Seedling - live healthy, grow local

Loughborough University

We will be building an app targeted at smallholder farmers, community allotments and gardeners. The app will assist them in leading a more sustainable life…

Shortlisted
Flag of Germany

Farmero

Technische Universität Berlin

Farmero is an innovative and easy-to-use Application for small farms which delivers up-to-date and reliable disease-risk-assessments. To achieve this goal, Farmero utilizes state-of-the-art disease detection…

Shortlisted
Flag of France

Easyload

Université Paris 1 Panthéon-Sorbonne

The main idea of our application would be to create a link between the individual users of electric vehicles. Thanks to EasyLoad application users looking…

Shortlisted
Flag of United Kingdom

Smart Waste

The University of York

Smart Waste is an app, which helps small to medium-sized enterprises (SMEs) in the hospitality and food retail industries to reduce their waste by predicting…

Shortlisted
Flag of Spain

Ecoffice

Pompeu Fabra University

The main objective of our idea is to create a smart office environment using machine learning techniques to increase the efficiency of an IOT sensor…

Shortlisted
Flag of Singapore

RevAmpS

Nanyang Technological University

RevAmpS is a mobile application that promotes sustainability efforts in campuses. By coupling ‘green’ features and utility-oriented features, the app aims to garner a sizeable…

Shortlisted
Flag of Singapore

SmartBuffets

Nanyang Technological University

We all like buffets. Free flow of food, amazing spread of dishes, food that is prepared beforehand and at your service. It’s like a bed…

Shortlisted
Flag of Germany

Reuse

Universität Passau

"Reuse" is a circular economy initiation that aims to help people to be eco-friendly by suggesting them some handcraft solutions to give second use for…

Shortlisted
Flag of Netherlands

Artificial Cashier Assistant

Tilburg University

We propose building a machine learning algorithm that stores and calculates retail and grocery store inventory data, maximizing profit, and reducing waste due to overstock.…

Shortlisted
Flag of Senegal

Sunubus

Ecole Supérieure Polytechnique de Dakar

Sunubus is a predictive bus localization app that relies on crowdsourced data and Maching Learning techniques to give its users accurate bus localization and travel…

Shortlisted

IT Challenge Live

Atos IT Challenge

Smart Waste from The University of York is is an app, which helps small to medium-sized enterprises (SMEs) in the h… https://t.co/aEQkA1TRhb

Feb 18, 2019

Atos IT Challenge

Seedling from Loughborough University is an app which guides you through the process of growing your own food at ho… https://t.co/1o5XOBpggE

Feb 15, 2019

Atos IT Challenge

Ecoffice from Pompeu Fabra University is to create a smart office environment using machine learning techniques to… https://t.co/YImwkxm1ma

Feb 13, 2019

Atos IT Challenge

BinSight from Universidad de Cantabria to is aim to integrate technologies into an innovative solution for reducing… https://t.co/u9QDSuA7It

Feb 11, 2019

Atos IT Challenge

SmartBuffets from Nanyang Technological University is an application monitoring of customer flow and rate of food c… https://t.co/W0SGRDqqy5

Feb 8, 2019

Atos IT Challenge

RevAmps from Nanyang Technological University is a mobile application that promotes sustainability efforts in campu… https://t.co/7Kj1E4WuMt

Feb 6, 2019

Atos IT Challenge

Check IT from Nanyang Technological University is to deal with the sustainability of grocery shopping and food wast… https://t.co/KW783blDmu

Feb 4, 2019

Atos IT Challenge

Sunubus from Ecole Supérieure Polytechnique de Dakar is a predictive bus localization app that relies on crowdsourc… https://t.co/NEmhrDv4kr

Feb 1, 2019