Problem

As a Ph.D. student in Artificial Intelligence, we faced difficulty in managing and organizing research papers, notes, and annotations. We were using multiple tools to manage our data which made the process time-consuming and inefficient.

We needed a solution that could help us streamline our research process and make it more efficient.

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Solution

We decided to develop an AI-powered platform that could help us manage our research data efficiently. The platform would use natural language processing algorithms to analyze the content of research papers and extract relevant information such as author names, publication date, keywords, etc.

The platform would also allow us to organize our data into different categories such as projects, authors, publications, etc., making it easy for us to find the information we need quickly. We also added a feature that allowed us to collaborate with other researchers on the same project.

Impact

Reduced time spent on managing research data by X%
Increased efficiency in finding relevant information by X%

"Quote of how incredible of an impact this had."

Team

Team Member #1 - Software Engineer
- Oversaw the development of the AI algorithms used in the platform
- Implemented the natural language processing features
Team Member #2 - UX Designer
- Designed the user interface and user experience of the platform
- Conducted user research to ensure the platform met the needs of researchers

AI Platform Streamlines Research Data Management