2019 Atos IT Challenge
Machine Learning For Sustainability
Discover the shorlisted teams
Ideas available
IT Challenge 2019
Machine Learning For Sustainability
Good luck on the development phase
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.
Last
8
days
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
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…
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…
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…
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,…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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.…
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…
IT Challenge Live
Atos IT Challenge
@AtosITChallengeSmart 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
Atos IT Challenge
@AtosITChallengeSeedling from Loughborough University is an app which guides you through the process of growing your own food at ho… https://t.co/1o5XOBpggE
Atos IT Challenge
@AtosITChallengeEcoffice from Pompeu Fabra University is to create a smart office environment using machine learning techniques to… https://t.co/YImwkxm1ma
Atos IT Challenge
@AtosITChallengeBinSight from Universidad de Cantabria to is aim to integrate technologies into an innovative solution for reducing… https://t.co/u9QDSuA7It
Atos IT Challenge
@AtosITChallengeSmartBuffets from Nanyang Technological University is an application monitoring of customer flow and rate of food c… https://t.co/W0SGRDqqy5
Atos IT Challenge
@AtosITChallengeRevAmps from Nanyang Technological University is a mobile application that promotes sustainability efforts in campu… https://t.co/7Kj1E4WuMt
Atos IT Challenge
@AtosITChallengeCheck IT from Nanyang Technological University is to deal with the sustainability of grocery shopping and food wast… https://t.co/KW783blDmu
Atos IT Challenge
@AtosITChallengeSunubus from Ecole Supérieure Polytechnique de Dakar is a predictive bus localization app that relies on crowdsourc… https://t.co/NEmhrDv4kr