GenLearn - Personalised Learning Assistant

GenLearn helps users learn, summarise, and present any topic with presentation slide notes in language of choice with links to Search, YouTube, Wikipedia, and Images to unlock learning possibilities

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Inspiration

In today's fast-paced world, individuals often struggle to find the time and resources needed to effectively learn and present information. Traditional methods of learning can be time-consuming and inefficient, leaving learners feeling overwhelmed and uninspired.

What it does

Whether you're a student, a professional, or a lifelong learner, GenLearn adapts to your needs, providing concise summaries and engaging content in your preferred language. But that's not all! With actionable links to Google Search, YouTube, Wikipedia, and Images, you'll have a wealth of additional resources at your fingertips, enriching your learning journey like never before. Say goodbye to tedious research and hello to efficient, personalised learning with GenLearn. Join us in shaping the future of education and empowerment. Let's learn smarter, together! 🌟

How we built it

Our app utilises cutting-edge generative solutions to create tailored learning materials and presentation slide notes on any topic you desire. We have used Amazon partyrock playground to build this app, which helped us with easy access to generative llm models like Claude and Stability AI

Challenges we ran into

While connecting widget, we occasionally hand trouble in getting the required out in relevant format and under the current scope, eventually we iterated this using some prompt engineering to get around with the solution. Had some challenges in getting the hyperlinks and eventually we mastered getting the links with the right model

Accomplishments that we're proud of

I think this is only the tip of the iceberg, if we could do this and help students with an interactive experience for students to learn and personalise the content in their language and summaries it with partyrock, it opens a lot of possibilities.

What we learned

When we started it is was giving output more similar to a usual ChatGpt query, but when we linked the various widgets, we managed to get a interactive experience. More over we started with text outputs, and later converted it to markdown and ensured to use emojis, to make the students feel cool. Besides which we went ahead and try to generate web search link to help student explore beyond and help opened the generated content to reference. Language translation would also be a great experience for students

What's next for Personalised Learning Assistant

  • I believe we could generate actionable links could help students reference and explore wide content from the web.
  • At the same time they could also be used to track user events to further interact with the playground
  • Also currently the playground does not support additional input component types, and input files/video. This could open more possibilities to make the interactive experience cool
  • It could as well in future support audio or video playback, and it could really make the learning experience engaging with some more event handlers in UI
  • Also the app is still using open pre-learned material, hopefully in future we could use RAG feeds to help industrial use cases make similar playground to benefits their users with relevant and appropriate data, more personalisation.

Get Started with GenLearn today and unlock your full learning potential! 🌐

App link https://partyrock.aws/u/AravindVCyber/2N3IdneP6/GenLearn-Your-Personalised-Learning-Assistant!

Snapshot https://partyrock.aws/u/AravindVCyber/2N3IdneisP6/GenLearn-Your-Personalised-Learning-Assistant!/snapshot/qDBzjmXhW

Try some experiment with this and share your snapshots or create your own app with Partyrock

Post in Community.AWS https://community.aws/content/2b71cejmiUvtvHxkNJTHwYHSFpM/genlearn-personalized-learning

Built With

  • bedrock
  • claude
  • llm
  • parthyrock
  • stable-diffusion
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