Overview
College counseling takes up so much money, approx. 5000 to 20000 dollars a year. All this money goes to a person who determines the path best fit for you, however, many miss out on professional advice like this and miss their best path due to the expense. So we thought, why not make counseling affordable? In fact, why not make it completely free of charge?
Path_Finder: Shows an optimized path to college
Fundamentally, Path_Finder is capable of
1) Using neural networks and machine learning to train on admissions data on students
2) Show a student's probability for a college based their grades and extracurriculars
3) Recommend the college that a student is most likely best fit for based on their profile
4) Smartly recognizing changes in the college admissions process using data instead of pre-defined metrics
Installation/Configuration
On any Linux OS, clone this repository
git clone https://github.com/arnavn101/NotesCreator.git
Install requirements of Python
pip install keras Flask matplotlib pandas sklearn numpy
Run the Main File:
python3 automate.py
Testing Output with CURL
curl -X POST "http://127.0.0.1:5000/" \
-d identifier=acceptance -d College=MIT \
-d sat=1600 \
-d grade=100 > index.html
firefox index.html # Can be any other browser keras
sklearn
Flask
pandas
numpy
# For more, refer to the collegerecommender.py