Earn 108,000 ($1,080.00)

PRODUCT: As you browse the internet a local LLM is getting content from what you're reading, and creating categories of content, with updated information from each time you read something new, to build out a library of knowledge you've learned/referenced and turning that into categorical summarization of topics you find interesting (with references to the articles that contributed to each category).

• Run a chrome browser in an Electron App
• Auto-scrape web page data (HTML) and autofilter out code so that only the "content" is able to be forwarded to the LLM - OR - run OCR in electron to "read what you're reading"
• Utilize web browser content data to put into a local RAG database
• Run an open source local LLAMA in electron app on locally stored data from web content
• Use LLM to auto-categorize data into a table view of content stored for the user
• All content should be given tags, and if an existing tag or category exists, new content should be uploaded to that tag/category and LLM should auto-update that category with new info
• Add reference link to articles in category section so you can re-reference what the LLM learned from for key content