Tax Document Classifier Achieves 100% Accuracy
Developed a tax document classifier that processes thousands of documents with 100% accuracy at a cost of $0.001 per page, significantly cheaper and faster than previous methods.
added by @nedwize
Developed a tax document classifier that processes thousands of documents with 100% accuracy at a cost of $0.001 per page, significantly cheaper and faster than previous methods.
added by @nedwize
Ranked from stored criteria vectors. No live classification on this page.
This system uses Jev to tag personal information in support messages, allowing selective redaction. The redact() SQL function ensures that only sensitive data is masked while keeping the rest of the message readable.
This trading bot determines whether to buy or sell based on asset pair price feeds and executes real trades. It utilizes Monad to place orders on Kuru's on-chain order book every 300ms.
This feed optimizer uses a single call to Jev to classify posts into categories like 'ragebait' and 'useful.' It scored 150 posts in under 10 seconds, achieving a 63% retention rate on unseen bookmarks.
A tool that automatically finds and compiles clips of scored goals weekly.
The author utilizes Jev to categorize company expenses in Mongolian, leveraging a year’s worth of Excel files for training. This approach allows for unique classification tailored to their specific needs.
FounderReach streamlines job applications by tailoring resumes and cover letters from Greenhouse or Ashby links, reducing application time from 4.5 minutes to just 1.5 minutes. Open to remote Software Engineer roles from Pakistan (UTC+5).