Team - BugML
Team members - Akarsh Jain, Kushagra Rode, Atharv Dabli
Details of the libraries required are in requirements.txt
This is a ML model to make math easy (just a overkill) :)
about the file - task 1 of the project has been completed with 95% accuracy (approx)
implementation details given as comments
Task 2 : unable to complete successfully - details of the attempt are as follows and also given at last
as comments
tried to implement three CNN's each for prefix, postfix and infix (these are classified by earlier CNN)
did not work and the network seemed to be taking out the average of the labels(values) and
outputting
this for each image
tried varying different hyper-parameters for 2-3 days wide range of values but to no use
this error seemed to be due to the less informative labels
Hence then tried a K means algorithm to classify *,/,+,- which also did not work (tried to divide in 4
clusters)
To classify your math equations run inference1.py in the terminal with giving input as the path to the image/s.
This will generate BugML_1.csv file in the same directory with your answers
Challenges we ran into
As the name suggests ...
What's next for BugML
DeBugML
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