Sprint Day

A python checker that can check the validity of DataFrame objects through the code. It will keep track of the dataframes' schema and raise errors if the schema is not respected or if the user is trying to access a column that does not exists.

L.E.P.A.U.T.E. The framework is a visual framework based on Lie group theory that accurately models geometric transformations in images and improves the performance of CNNs. Recommended Sprint: Strong market demand, with applications in robotics and healthcare.

Most startups and companies publish engineering blog articles. During the sprint, I will add 2 - 3 projects to the repository. Each repository will be a prototype of the architecture described in these blog articles, rebuilt with a tech stack we're comfortable with, to understand why those companies took that approach.

Additionally, most of these blog articles mention "Future Work." I will build the initial prototype, and participants will work on the future work items mentioned.

For example, Uber released their Enhanced Agentic RAG solution. In their future work, they highlighted pending features like OCR support, Multimodal RAG, and Chain-of-RAG for multi-hop reasoning. I will build the initial Enhanced Agentic RAG pipeline, and participants can implement the future work items. I will guide them with resources and resolve doubts. Those who contribute will receive Streamlit swags, and I also have 2 - 3 Google swags.