Student Progress Analyser is an application where teachers can upload data about their students i.e. their class group, attendance, attentiveness etc. and get the predicted academic performance of their students.
The application predicts the performance of the students using a machine learning model. However the quality of the dataset used and hence the predictions made were not good enough.
This project was made during a hackathon called Haxplore. Unfortunately I couldn’t submit this project due to some inevitable reasons. 😦