Admission Score Prediction Model

A Regression model for predicting the chance of Admit for a student applying for admission at a University.

Having the input features : GRE Score, TOEFL Score, University Rating, SOP, LOR, CGPA and Research.

Dataset link

https://www.kaggle.com/code/bikiranguha/admission-predictor/data

Website link

For live admission score predictions hit the url: https://regression-lr-model.herokuapp.com

Tech Stack

• Front-End: HTML, CSS
• Back-End: Flask
• IDE: Pycharm

How to run this app

• First create a virtual environment by using this command:
• conda create -n myenv python=3.7
• Activate the environment using the below command:
• conda activate myenv
• Then install all the packages by using the following command
• pip install -r requirements.txt
• Now for the final step. Run the app
• python app.py