Linr.io

Introducing our new web application to help students read and effectively retain knowledge.

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Inspiration

Traditional methods of online quizzing, and paper exam to test reading comprehension can become tedious for both students and teachers. We sought to create a new method that could improve learning outcomes and encourage collaboration.

What it does

Our method involves small summarizations for each paragraph, requiring readers to summarize each paragraph before moving on to the next. By creating summaries, readers are more likely to retain knowledge and better comprehend the material.

How we built it

Our MVP web application was built using React, and Node.js, and incorporates the OpenAI API and Ada-Embedding-002 model to generate summaries.

Challenges we ran into

We encountered challenges with the specificity of the text input required and the fact that the AI model was only 81% relevant. However, we believe these challenges can be addressed with further development and refinement.

Accomplishments that we're proud of

We are proud to have developed an innovative and scalable idea that can help people learn more effectively in an era where artificial intelligence is becoming increasingly prevalent. Our solution also has the added benefit of reducing plagiarism since this system does not encourage grading.

What we learned

This project taught us the importance of having a diverse and talented team with complementary skills (since I'm solo teaming). We also gained valuable experience developing a web application using various technologies and integrating third-party APIs.

What's next for Linr.io

Near scope:

  1. The platform will accept multiple document formats, including well-formatted text files and PDFs of research papers and articles/links.
  2. We will test other models to determine which is the most efficient and accurate, using the same data on different models.
  3. The platform will support multiple languages.
  4. We will create a classroom feature where teachers can add students and assign readings.
  5. Students can review their past submissions and use a to-do list system to track deadlines and assignment progress.
  6. We will improve the comparison of text meaning to cover the context of everything up to the reading point.
  7. The platform will operate as an actual service with authentication and security.
  8. We will improve the UI design, including collapsible submission sections and cleaner code. ### Far scope:
  9. Besides academic use, the platform will connect with bookstores or online book retailers to allow users to import books for effective reading.
  10. We will add explanation functionality, allowing users to highlight concepts they do not understand. The program will use information from the document to explain it to the user as much as possible.
  11. We will aim for cross-platform products.
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