Inspiration
Social Impact
What it does
detects the location of the faults & predicts for the future faults
How we built it
Used data provided & domain-knowledge provided by mentors & using data analytics
Challenges we ran into
Lack of data for pin pointing till the last mile for the fault
Accomplishments that we're proud of
Interface for EESL to facilitate the maintenance by predicting & rectifying the faults at much lower costs without any additional hardware
What we learned
By looking at the data provided we were able to identify the missing column in dataset which can be included to make out much more meaningful insights.
What's next for HackSeSingle
We are motivated to work on the problem, to save the cost expenditure by EESL for various problems including detecting the fault in the exact pole of a CCMS
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