Inspiration
I was once diagnosed with critical illness and i know once how difficult is to find the right provider at critical times
What It Does
Delivers customized responses to user inputs by precisely matching query intents with the most relevant healthcare data available.
How We Built It
Developed by integrating knowledge Graph with a large language model (LLM), enabling the system to understand and process complex user queries effectively.
Challenges We Ran Into
The main challenges included constructing an effective graph database and generating accurate ground truth data for each query output, essential for training our models.
Accomplishments We're Proud Of
Successfully sourced and utilized relevant responses from diverse datasets, enhancing the reliability and utility of our platform.
What We Learned
The foundational importance of generating robust data and establishing a solid base platform is crucial for developing complex, AI-driven solutions.
What's Next for Neuroaxis
Scaling up to build and refine models capable of handling a larger corpus of data, aiming to broaden the scope and accuracy of the healthcare solutions provided.
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