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This is a streamlit web app for helping scientists dive into Kidney data provided by nanostring.
Is a web app that allows to solve complex math word problems by means of a Socratic dialogue between two agents playing the role of Socrates and a Cleaver Student (GPT-3-turbo and GPT-4).
This project attends the "Physical Sciences Challenges", in particular, the Challenge 2 "Predict elasticity of Crystals"
Two modzy API's ("Graph Embeddings" , and "Named Entity Recognition") are used to get information from the characters from George R. R. Martin's "A Song of Ice and Fire" novel.
The project aims to give insight on how was the per to per interaction between infected people.
