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
92
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
@AtosITChallengeCropCap from Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU) is a real time identification to predict the na… https://t.co/lLBd2Quucn
Atos IT Challenge
@AtosITChallengeReuse from Universität Passau is a circular economy initiation that aims to help people to be eco-friendly by sugge… https://t.co/GQ8EV0UUaX
Atos IT Challenge
@AtosITChallengeFarmero from Technische Universität Berlin is an innovative and easy-to-use Application for small farms which deliv… https://t.co/pd276Lcsz2
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@AtosITChallengeEasyload from Université Paris 1 Panthéon-Sorbonne is an application to create a link between the individual users… https://t.co/dRGNGYkvWh
Atos IT Challenge
@AtosITChallengeThank you to all the students who shared their ideas with us around #MachineLearning for #Sustainability - it was h… https://t.co/zclBwoDW4r
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@AtosITChallengeIt's NOW! Click on play and discover who are the teams shortlisted for the 2019 #AtosITChallenge! https://t.co/NU518jJQZO
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@AtosITChallenge.@Atos is proud to reveal the 15 teams shortlisted for the 2019 #AtosITChallenge edition. Congratulations! … https://t.co/IBHPWqJuXT
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@AtosITChallenge#AtosITChallenge - The shortlisted teams will be announced this week... Stay tuned, it is coming! https://t.co/tkqPXd23kk