Inspiration
research by Sergey Kibish on finding Anomalies using clustering
What it does
it used a statistical model to determine the outlier points to determine authentic readings from anomalies
How I built it
using nodejs and cloud technologies.
Challenges I ran into
figuring out how to detect the outlier patterns in the data
Accomplishments that I'm proud of
we got our demo site running and the interface to upload the files
What I learned
What's next for intelli-vigelante
making the project compatible with blockchains and make it
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