This project has been done under the IBM Nalaiya Thiran initiative. It is a university admit eligibiliy predictor. It uses a Kaggle dataset with a Regression Model to achieve the prediction of whether or not a student will be admitted into a university for Graduation School. The model has been deployed on IBM Cloud using IBM Watson Studio.
Demo hereThe dataset used has been linked here graduation-admission-analysis-and-prediction-dataset.
The Team Members are:
Team Lead : Dhivyashri Ramesh
Team Member 1 : Athirai Shanmugam
Team Member 2 : Kavya Sridhar
Team Member 3 : Shrishti Padmanabhan