AI Syllabus Architect

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  Relationships being tracked at a closer view

Inspiration

Making meaningful courses that include meaningful information can be difficult to manage and build. There can be a lot of dependent parts and can be hard to manage. We wanted to make this process simpler by providing all relevant course material and build a course from it.

What it does

AI Syllabus Architect automates the development of educational syllabi, leveraging AI to summarize and embed comprehensive educational materials. It uses Neo4j to map relationships between content, creating interconnected and detailed course structures. This enables educators to easily construct courses that are both content-rich and coherent.## How we built it

Challenges we ran into

This process is more complex to get right as there is a combination of summarization, embeddings and relationships. For the timeframe, we could not manage to test and develop everything.

Accomplishments that we're proud of

We are proud of the results we did get and see that with more time we can accomplish something amazing. Which will not just be limited to course creation but multiple industries.

What we learned

The integration between multiple different vector databases, how to process different embeddings and relationships. A note for our future selves, A simpler project for the timeframe would have been more reasonable.

What's next for AI Syllabus Architect

Work out a few of the bugs and pipeline of how queries and new data is added with more fine-tuned models.

Built With

• langchain
• llamaindex
• openai