Top 15 Young Geeks - Class of 2021

Snaye Sotashe





Snaye Sotashe


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Snaye's Biography

In 2017, he decided to register at University of Zululand for Bsc Applied Mathematics And Computer Science. In his first year, he says that he did not learn much , it was a lot of theory based stuff, nothing practical. But it did get me to kinda do things on his own and self teaching. He taught himself javascript and html, web development and all other cool Technologies that they don’t teach at varsity.

After learning software engineering in his second year second semester he decided to teach himself javascript and python frameworks(React, Node JS, djanga) and all the cool stuff called mern stack today.

When he then Attended a dev jam mern stack(javascript, react,mongo, express, node js) international hackhathon and reached to the top 10. He was sure about winning the hack but school kinda got into his ways and he decided to quick after 4 weeks of hacking. He then took the solution he developed during the hack helped people with it, to generate their resumes. He started doing it for free But because of large volume, he then charged R50 to R60 depeinding on someone’s pocket.


Favourite Quote

Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but st


Dear South African Geeks,

Firstly, please please! Avoid not taking enough breaks when coding.

- Snaye Sotashe


Snaye's Work

    • Open Door(Built during MTN_BUSINESS HACKATHON)

      <p>A learning management app for high schools.</p>
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      <h3><a href="https://eager-euclid-ac1721.netlify.app/">Resume builder(Created during zaio hackathon)</a></h3>
      
      <p>A web app which lets you create your resume in a few clicks by just filling in your details.</p>
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      <h3><a href="https://geekulcha.dev/young-geeks/snaye-sotashe">Pedestrain Safety System</a></h3>
      
      <p>An android Deep learning, computer vision application which detects vehicles on the road using the back camera of the mobile phone and notify Pedestrians of oncoming vehicles.</p>
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