Challenges

CHALLENGE 1– HOW TO DETECT/IDENTIFY THE DEFECTIVE/NON-FUNCTIONAL LIGHTS, NUMBER OF LIGHTS CONNECTED TO A PARTICULAR CCMS THAT ARE NOT FUNCTIONING AND THE WATTAGE OF THESE FAULTY LIGHTS. EXTRAPOLATE THE DATA AVAILABLE IN THE CCMS TO FIND OUT THE NON – FUNCTIONAL STREET LIGHT(S) CONNECTED TO A PARTICULAR CCMS.

CHALLENGE 2 – COMPLAINT HANDLING SYSTEM (CHS) – THE PRESENT CONSUMER COMPLAINT DATA TO BE ANALYSED FOR PREDICTIVE ANALYSIS OF THE FAULTS AND UNDERSTANDING SO THAT EESL COULD TAKE PRE- EMPTIVE MEASURES AND ADDRESS THE COMPLAINTS BEFORE THEY EVEN OCCUR.(SUGGEST WAYS TO REDUCE FAULT RATE.)

Inspiration

Learning and solving this particular problem.

What it does

It will gives the number of faulty lights based on the sensor data.

How we built it

We have build it using photodiode and getting the data and then sending it to CCMS and with the data being sent to CCMS we are predicting the fault rate .

Challenges we ran into

Lots of challenges 1 thinking how to get the exact faulty street light. 2 How to implement it with android 3 sending arduino to firebase

Accomplishments that we're proud of

We have faced challenges and completed the problem statement .

What we learned

What's next for Guten

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