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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