Searching for case studies and publications based on the location in the implementation stage provides valuable and accessible resources.
Users can upload resources to quickly generate and analyze insights by leveraging AI, enabling more efficient paper reviews.
Practitioners can save resources in the workspace, collaborate with team members, and have discussions all in one place.
What did the Practitioners have to say?
We conducted primary research on the contents of gray literature, exploring their current data usage and methods, and distilled our findings as follows.
Practitioners tend to look for certain tools and resources. Metrics like income and well-being of local communities are often overlooked, but crucial for project success.
There is a lack of one universal tool that aggregates key features for restoration practitioners.
It is challenging for practitioners to efficiently scan literature, in short time periods.
Lack of adequate and accurate information leads to higher chances of failures and subsequent abandonment of projects.
We implemented a multi-purpose search function, enabling users to both search and quickly extract insights by uploading documents, research papers, or policy documents.
AI-powered search is an advanced search bar helps them to find relevant and well-cited sources.
Recognizing the distinct challenges of restoration in each location, Sift features a filter panel that allows practitioners to easily find the most accurate information and refine their search.
The collections enable collaboration among team members and organizations, where they can track the types of resources saved, the number of files stored, and the count of participating members.
Practitioners can create their personal space, using customized tags as organizers for clear tagging and labeling when saving resources.
Smart insights are generated through LLMs analyzing thousands of vetted resources. The tool produces concise summaries, making it easier for practitioners to review the material quickly.
Using the LLM model, this tool offers dual functionality for searching and obtaining quick insights.
Searching for case studies, papers, and publications by location or implementation stage can be a valuable and easily accessible resource.
AI-powered insights help practitioners use search engines to find relevant facts and figures.
Based on the uploaded document, they can access a variety of content, including case studies, research papers, and local knowledge.
People can easily collaborate in a shared workspace, where they can view saved resources and comment to communicate with team members.
1000 research papers have been trained for the LLM.
Increasing the data set to 1 million while improving accuracy.
Developing and launching the tool, with lab affiliations.