hgw3lls / Quado

Quado is a research automation web application with a search box that takes in a query and automatically search, aggregate and extract all relevant information from different sources like web pages and data stores and presents all results in a concise, clear and precise manner on graphical board similar to a detective’s investigative board. This graphical view empowers the user to have a bird’s eye view of all the different paths they can navigate to reach their research goal; as well as provide a simple and fast way to create connections and generate results that will otherwise require the manual process of iteratively searching, opening, analyzing and manually drawing connections between the texts in the links.

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Quado

Quado is a research automation web application with a search box that takes in a query and automatically search, aggregate and extract all relevant information from different sources like web pages and data stores and presents all results in a concise, clear and precise manner on graphical board similar to a detective’s investigative board. This graphical view empowers the user to have a bird’s eye view of all the different paths they can navigate to reach their research goal; as well as provide a simple and fast way to create connections and generate results that will otherwise require the manual process of iteratively searching, opening, analyzing and manually drawing connections between the texts in the links.

About

Quado is a research automation web application with a search box that takes in a query and automatically search, aggregate and extract all relevant information from different sources like web pages and data stores and presents all results in a concise, clear and precise manner on graphical board similar to a detective’s investigative board. This graphical view empowers the user to have a bird’s eye view of all the different paths they can navigate to reach their research goal; as well as provide a simple and fast way to create connections and generate results that will otherwise require the manual process of iteratively searching, opening, analyzing and manually drawing connections between the texts in the links.

License:MIT License


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Language:Python 70.9%Language:Dockerfile 25.0%Language:CSS 4.1%