Core Java Developer
‘Let‘s meet’ is a 3D application offering to user the possibility to get inside a 3D virtual world using Oculus headset, in this world the user will be able to discover a new way of using the social networks. The user will be experimenting a unique experience in a virtual 3D world divided into several sections, each section represents one of the Facebook services (friend list, pages, groups…) with the ability to perform all kind of actions related to the service (chat, comment, share, like…)
The project is mainly based on audiovisual aids techniques due to several indications within the environment allowing the user to establish written and movement interactions.
“Let’s Meet” has been conceived and developed with a major optimization reducing its weight in terms of increasing the response time so that the user won’t be waiting for so long in order to remain faithful to the virtue of social networks. To meet the needs of user comfort we have designed an environment with high ergonomics guiding the user with clear and simple indication so that he can easily fulfill any interaction.
Knowing that Facebook has bought the oculus Rift headset and considering his notoriety within worldwide society by scoring 1,750 millions of active users. We consider that ‘Let’s meet’ may have major impact and the scope to reach over millions.
As all PIM projects we are mentoring ( acronym for "Projet d'integration mobile"), this project is made by 4 engineering students coached by one mentor. We are 10 Associate professors/R&D engineers mentoring 120 engineering students per year.
O presente projeto de pesquisa propõe a construção de um sistema WEB comercial. Trata-se de um e-commerce para o seguimento business-to-business (B2B) em que empresas distribuidoras de mercadorias façam transações comerciais virtualmente com seus clientes varejistas. A proposta é informatizar os processos comerciais realizados presencialmente por um vendedor em um sistema que dê autonomia ao varejista para realizar suas compras periódicas. Essa virtualização do processo tem seu diferencial prático, tornando largamente vantajosa sua utilização, em comparação ao modo convencional. Esta plataforma requer o uso de tecnologias de desenvolvimento apropriadas para sua construção. Por tratar-se de um sistema online, exige-se que sejam elencadas as tecnologias ideais para o seu desenvolvimento, visando a evolução do sistema enquanto produto de software. Para isto, é necessário um planejamento refinado e o uso do mais adequado Processo de Desenvolvimento de Software, o qual seguirá os mais atuais conceitos de Engenharia de Software.
Our lab at the University of Hawaii at Manoa, Siemens Germany, and Universitat Passau is studying how the alignment of social and code networks in open source software development, also known as Conway's Law (https://en.wikipedia.org/wiki/Conway%27s_law) affects various project outcomes. Different from previous research, our work extends the analysis through granularity (functions, files, modules), time windows (weeks, months, years) and different communication channels (mailing lists, issue trackers), to obtain the full picture.
With everything going digital, there’s need for a digital platform that allows farmers to automate their farm activities such that they have visibility of the farm progress anytime anywhere on single click. Coming up with a digital online platform, Farm Assist (FA), an internet application software, will help farmers to solve these problems in a more efficient and less costly way leading to increase in production.
I am working on technology that will enable people with no hands to drive car using just their feet.
Machine Learning, Monte Carlo simulation and data analysis for health.
Hello everyone, I am Tushaar. I am currently pursuing my bachelors at NITK. I developed passion towards AI and Machine Learning, had mentored the same at a mentorship program and currently was working on "Real Time Sensor based Weather Analysis and Prediction using Cloud Analytics to Improve Agricultural Yield". At the moment all we have are basic regression models which actually work with an 80 percent efficiency approximately. The repositories related to both the mentorship program and the regression models can be found on my GitHub account.
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