Everest

Inspiration

Studying with your own notes may end up being inefficient because you may not know what topics are important or related to each other. This lack of clarity often leads to information overload and struggles with retention. Our inspiration stems from the need to simplify the learning process, making it easier to identify key information and relationships between topics.

Everest is a modern note-taking / study app with three main features:

• Quickly summarizing notes using AI
• Generating flashcards with AI
• Uploading PDF and image files so you can upload raw lecture slides or handwritten notes.

Everest is also able read handwritten notes and convert into LaTex (supports mathematical equations) and display it.

Technologies Used

• MongoDB Atlas
• Google Cloud
• Next.js
• Typescript
• tRPC
• Google PaLM 2
• Google Vision AI
• Uploadthing
• TinyMCE

How we built it

We built our frontend using Next.js and Tailwind and our backend with tRPC and MongoDB Atlas. We used PaLM 2 as our LLM of choice.

Challenges we ran into

One of our biggest challenge was deploying our model and correctly prompting it to give good results.

Built With

• google-cloud
• mongodb
• next.js
• react
• tailwind
• tinymce
• typescript