As part of moveworks organized hackathon, we built a chatbot that answers customer queries based on information on the entire website.
Used everything that is open source / can be run locally: sentence transformers to generate embeddings + mistral for LLM output running locally on a laptop + similarity as well as tokenized search all wrapped as a flask app. github
Implementing the paper “Attention is all you need” in scratch using pytorch. github
Ask it anything regarding finances of a publicly traded company and it will answer!
A simple flask app that uses OpenAI embeddings and faiss DB to store vector embeddings to then query and answer user query. Made it under 30 hours as part of a hackathon. github
simple note taking app
I did not want to keep on answering my younger brother’s science and language doubts so made a simple website based on gpt-3.5-turbo api so he can ask and get direct answers easily. You can check it out here: solve.vimarsh.co
A crypto analytics platform that tells you how much you have spent on gas fees on different blockchains. link
A full stack app, that searches through transactions for your wallet and returns how much you have spent on gas. An express (self-hosted) backend and vanilla HTML, CSS, JS based frontend.
PWA that can detect plant diseases (completely offline and on-device) link