Skip to content

Ramya6202/Course-Recommendation-System

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Course Recommender MVP

Single-file Streamlit app recommending courses using KMeans clustering + content similarity. Run:

  1. python -m venv .venv
  2. activate venv
  3. pip install -r requirements.txt
  4. streamlit run app.py

About

A Course Recommendation System built with Python and Streamlit. Recommends courses based on student skills, interests, and goals. Includes filters (cost, duration, certification), career path visualization, and peer benchmarking.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages