The problem V-Learn solves

V-Learn helps the teacher to identify which students need extra attention in a particular subject by fetching those particular students' ids on the Teacher's Dashboard using Machine Learning Algorithm.
Students can view their performance summary through the dashboard in the form of graphs that we have visualized on basis of every subject's Term Test marks.
Students can also calculate the Risk Factor by entering their term test marks to get a predicted SGPA and get proper attention if they fall in the risk zone.

Challenges we ran into

So one of the most difficult challenges in our project was getting a dataset. We tried Kaggle and other resources but didn't get an appropriate dataset. Finally, We tackled the problem by floating a survey form and collecting the marks of our batchmates and our seniors. This dataset is a real dataset and can be used to predict actual students' risk-zone with great accuracy.