Millions of scientific materials are published
every year, therefore researchers don’t always have the opportunity to process
them on time and in full. Lack of time for analysis cause limited depth of
research and leads to poorer decision-making and lower efficiency of
organizations. The idea of our project is to empower both
scientific and other research with a tool that will help streamline parts of
the research process.
SOLUTION
To achieve the required goals, DataObrii
created LitGen.AI – the solution that incorporates state-of-the-art AI models
and scientific research methodologies to save valuable time for researchers
while performing deep analysis of thousands of papers. The economy of time is
impressive – up to 30%! Our team of tech developers and research
specialists has implemented the following steps:
- conducted user interviews to learn about the
key needs of potential customers; - developed the key AI/ML product features and
tested them on the KSE base; - created a high-quality website prototype. With LitGen.AI, which is based on advanced NLP
algorithms and ChatGPT, the users will be able to automate the literature
review process:
- explore the most relevant articles and form the
seed body of literature; - form a Map of concepts on multiple levels of
aggregation to easily determine connections between ideas, papers and
knowledge; - link their concepts with those of colleagues
and explore collaboration; - complete the literature review using generative
AI and export it to any app they use.
RESULTS & ADVANTAGES
Created LitGen.AI helps to automatically
condense thousands of important data sources. Using guided procedural
component, structured content analysis and a family of Natural Language
Processing Tools users can get intended results faster, in the form of
conclusions, literature reviews or presentations. It cuts the organization’s
costs by saving 30% of time spent on research.
TECHNOLOGIES
Scraping, mind maps, literature review, gap
detector, filtration mechanism.
