Curriculum Builder for Self-Teaching

When you know what you want to learn, but you don't know how to learn it - start with this curriculum builder to figure out your gameplan!

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Inspiration

With the internet, it's very easy to gather information and knowledge about anything—in just a matter of seconds. However, what to search can be challenging, especially when starting to learn a new skill or a subject.

I've faced this phenomenon when I wanted to become a developer but didn't even know what skills I didn't know, and was completely lost with where to start. Schools often help with this by developing curriculums to provide a structured education, but as someone going through a post-grad career change, it's been challenging to take this 'untouchable' goal that I want to work towards and break it down into smaller, manageable, and attainable tasks. I've always thought a roadmap for learning any skill or subject would be helpful, and know that incorporating artificial intelligence models could make a huge difference in supporting any self-taught learner's goals.

What it does

The Curriculum Builder for Self-Teaching receives two inputs: (1) what the user wants to learn, (2) their current skill level or any background in the subject. After receiving the two inputs, it produces a well-organized roadmap/curriculum about that subject/skill that matches the users' level of knowledge!

The roadmap includes a bullet list overview in the beginning and then each bullet is broken down into their own sections with more details and actionable steps.

There is also a interactive Q&A chat component that answers any questions the user has about the curriculum or the subject itself. Some examples can be: breaking down a section into even more details and smaller steps, recommendations for external sources that offer educational value regarding the subject, etc

How I built it

I built the Curriculum Builder on AWS Party Rock. Thankfully, Party Rock was a breeze to learn and use, and its no-code nature made it even more approachable and executable. It's great to think that with these kind of tools, any ideas can now be made into real and helpful apps.

Challenges we ran into

As one not too familiar with AI, it was difficult to figure out the differences between Amazon's AI models and what "Temperature" and "Top P" meant. Fortunately these were all documented but I wished they were titled in a more intuitive and user friendly way.

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