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According to a 2014 Kenya demographic and health survey: It was important to us to make sure this youthful population not only gets necessary information on sexual and reproductive health, but also accurate and helpful information — without fear of judgement, when they need it most. We saw this technology as an opportunity — we could be the first to to deliver sexual health education via an app or a chatbot in messaging apps. So far, we have been asked over forty thousand questions from over 4,000 users from all over the world. Our users can ask Sophie free-form questions like: Sexually transmitted infections (STIs) are infections transmitted by having unprotected sex with an infected partner.

With Sophie Bot — we can answer important sexual and reproductive health questions for our users, no matter where they are or what they’re doing. STIs are some of the most common communicable diseases in Kenya, particularly among young people aged 15-24 years.

However, this was around the time that I realized how big of a problem sexual health is in Kenya and Africa.

I saw a natural opportunity to adapt my earlier chatbot experiments with AIML to something that might be helpful in improving access to proper sexual health information.

But after reading Karpathy’s post, I decided to dig back into Deep Learning concepts.

The first few times through the article, the concept was so baffling I had to walk through building an LSTM from scratch with matrix multiplications in order to get the proper intuition.

Let me give you a bit of background about why we’re building this company.Soon I had a Java interpreter ready to run on an Android app.Rather than building Snub, I ended up shipping three different chatbot apps: But, by June 2016, two years later, none of these chatbot projects had really taken off.Enter Andre Karparthy's blog on The Unreasonable Effectiveness of Recursive Neural Networks. Deep into that rabbit hole, I re-discovered Long Short Term Memory Networks (LSTM).It’s not that I hadn’t heard of an LSTM implementation of bots before — I had just kept dismissing the idea.

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