Proposal in one sentence:
Science Letter is a personalized Newsletter to easily keep up to date with research on any topic, in any language and in any format by leveraging AI to adapt content based on reader preference.
Description of the project and what problem it is solving:
Keeping up to date with research
Nowadays the enormous quantity of research papers that are being published everyday makes it really hard to keep up to date. It takes a lot of time to find and curate the research content that fits ones own interests. With Science Letter, one can quickly mix and curate the list papers of interest, even for very specific topics, and quickly grasp the content of the paper in the summary format of preference. Moreover, all preferences can be configured in natural language.
Increasing the reach of scientific insights
Two problems with research papers are that they are usually written in English and for a technical audience. By using AI, we can generate content in most of the world languages and refactor the content for audiences of any level of technical knowledge.
Note that Science Letter leverages AI for web scraping, semantic search, translation and customized content generation, automating the whole crafting workflow.
This is just a starting point, would love to hear ideas and suggestions to iterate it!
- An improved version of Science Letter including more Journals sources (v0 only includes Medrxiv).
- An improved Semantic Search engine on top of a VectorDB.
- Twitter: @GuillemBatist
- Discord: guillembatist#8586
Additional notes for proposals