Problem Statement: Generate multimodal data to complement or be in distribution with a users existing corpus of data. LabRat is an extension to that helps young research assistants navigate the complexity of experiments with handwritten notes and drawings. It can read drawings and transform it into code suggestions that can be used in a Snowflake notebook environment. I am a junior at a very small school in SF and I am a part of our one of our first student labs, dedicated to Mathematical Modeling. However, we are understaffed for mentors and given the high number of new students coming in, I wanted to create something that could be helpful for them to understand and develop physics-based simulations. I already wanted to use Snowflake as a hub for centralizing the data of our experiment runs, but since we rely mostly on notes for setting up experiments, I sought to create an agent that can read handwritten notes and turn into educational code suggestions.
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