CodeRes.ai
Generate code for a figure from a published paper with speed & clarity
What it does
CodeRes.ai is an web app that enables scientists and researchers to review scientific literature faster and with more clarity and to extract meaningful insights from figures in relation to raw data and code, as well as replicate data and figures from papers by generating code given said figures.
All the user has to do is to upload a picture of said figure from a related paper, and CodeRes.ai would be able to generate code for the plots within said figure, with succinct accompanying explanations.
The Gemini API is queried with the figure, and an accompanying prompt, and generates code for the figures in a given prompt. The code is plot based, and sample data is also generated for the given use case. One would also be able to generate code from said figures in multiple languages: Python, R, Matlab, Java and C++.
The use of CodeRes.ai would enable scientists and researchers formulate computational pipelines with said code, to enhance the reproducibility of scientific data and substantiation of published literature data with a Gemini-powered click. It would also expand accessibility to individuals with learning disabilities comprising those with ADHD and dyslexia, who work in academia, and might have a difficult time parsing through dense computational papers in a streamlined manner, and would bridge the gap between coding tutorials and their real-world use cases in scientific papers, for researchers looking to integrate computational workflows in their research process.
Built with
- Web/Chrome
Team
By
Yvonne Naa Ardua Anang
From
United States