Inspiration
Our Inspiration to do this project is to find out the errors in the education system and solve them.
What it does
In this project we took the three basic parameters like infrastructure, Qualified teachers,Passout percentage and predicted the quality factor.
How we built it
We used python to write the program, we used pandas library for perfectly format the given data in a tabular form, and we used Sklearn library to split our data into train and test cases and also we imported linear regression, matplot library to represent the given data in graph, numpy to format the result into an n:1,2-d array.
Challenges we ran into
We are unable to get a proper dataset, so we prepared our dataset and we struggled to find out the formula for the Quality factor so that it can be perfectly fit into the dataset.
Accomplishments that we're proud of
Although this is our first Hackathon in ML, we have no idea about it, but tried our best to solve it.
What we learned
We learned, about the different libraries in python and how reliable python is for ML.
What's next for EduSolution
In the future, we will further improve our algorithm and make it more efficient.
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