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Adding readme for TrapheusAI
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<p align="center"><img src="logo/TrapheusAILogo.png"></p> | ||
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<p id="description"><b>Introducing TrapheusAI:</b> Next gen automated data analysis co-pilot. <br/> <br/> | ||
Traditional search engines have always relied on keyword search much like the indexes you find in the back of books. | ||
Unless a query matches a keyword in your index, the search engine can come up with no answers. TraphesuAI aims to solve | ||
this problem shifting from "matching" to "understanding". Driven by AI , it represents the unstructured search space | ||
conceptually which can be interprested by machines. | ||
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Powered by niche graph and search technology it overcomes the limitations of traditional keyword based models. | ||
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<h2>🧐 Features</h2> | ||
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Here are some of the project's best features: | ||
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* Search for concepts in an unstructured space | ||
* Refine your search and discover patterns insights and relationship among concepts | ||
* Search for related data for a concept you want insights on | ||
* Boost your productivity and do complex data analysis with no code at all | ||
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<h2>🚀 Demo</h2> | ||
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https://github.com/intuit/Trapheus/assets/112308320/de425e33-5c35-4103-a7f9-0b29579c7060 | ||
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<h2> Inspired from </h2> | ||
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* Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods | ||
* Automatic design of graphical presentations. Stanford Univ | ||
* Extracting top-K insights from multi-dimensional data | ||
* Graphscape: A model for automated reasoning about visualization similarity and sequencing | ||
* The concept space explorer | ||
* A Framework for Structured Search of Distributed Research Resources |