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Internship Details

About Internship:

We are the winners of the largest hackathon in the world organized by the European Commission to deal with the effects of a pandemic EUvsVirus.

Our project VideoWiki ("Video Wikipedia for Learners and Creators") is a simple tool for teachers to create teaching content without any advanced knowledge of a tool or code. creating by using various media and graphics from the open stock libraries and merging it with their own content to keep it engaging and diverse.

We already have a working prototype - www.videowiki.pt .

We want to offer you to test our platform and become further partners in the development of this educational portal

We are looking for VUE interns for our project. If you are available and want to contribute to this high impact and high visibility project please take this test - https://boarded.in/VUE-q
We will have quick interviews after and then start by 1st June.

Roles and Responsibilities:

1. Building backend application program interfaces (APIs) for one of our current projects
2. Working on UX/UI enhancements for projects in VueJs, ReactJs, AngularJs
3. Working on UI frameworks such as Bootstrap
4. Handling some tasks related to data mining and database administration


2.Letter of recommendation
3.Flexible work hours

No. of Positions


Application Deadline

Apply by: 15th Jul `20


Rs. 2000-3000

About Company

GetBoarded is one of the leading personal and corporate branding platforms in Europe, with an international presence in India, Europe, South America, and the Middle East. GetBoarded is an Alt-Careers opportunity platform, focused on alternative career matching for students. 

It works, not just on the knowledge skills of a person, but also personality-based transferable skills in today's ever-changing career and job landscape. It gets directly integrated into University's website as a SaaS and while they are using the system for creating resumes, we gather data-points that predict and provide future career opportunities for students using research-based Predictive Talent Analytics and AI.

We are interested in having exceptional talent, be it with an external hire or internal grooming. We want to be a closely-knit team of extra-ordinary people who love what they do and live for it.

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