A collaborative filter-based search engine powered by machine learning.
- Trained a neural network to predict whether a natural language filter matches an item description or not.
- Designed a scalable search engine system including clustering techniques to select search result candidates.
- Designed a custom MLOps pipeline to automatically pull our datasets from different sources, train our model and deploy it.
- Developed our own search engine platform allowing users to search, index new content and contribute by annotating data.
- Created our own cryptocurrency on the Solana blockchain to reward contributors.
A simple tool to share knowledge.
- Using: NextJS, PostgreSQL, TypeORM, Redis, GraphQL
- Deployed with Vercel
- Images stored on Cloudinary