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course-recommendation

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This Python-based project recommends e-learning courses based on user preferences and course similarities. It utilizes natural language processing (NLP) techniques for accurate course suggestions. It is an end-to-end project with its seamless frontend build on React

  • Updated Jul 15, 2024
  • Jupyter Notebook

AI-powered resume analyzer that extracts skills & projects, identifies missing trending skills, and recommends curated courses to boost your career. Built with Next.js + Flask + Python.

  • Updated Feb 10, 2026
  • Python

AI-powered academic guidance system that predicts student GPA and recommends personalized courses using collaborative filtering, Jaccard similarity, and PageRank algorithms. Built with Python ML backend, Node.js API, and web frontend for real-time academic planning assistance.

  • Updated Oct 1, 2025
  • JavaScript

A hybrid course recommender system using TF-IDF content-based filtering, knowledge-based constraint satisfaction, and penalty-based re-ranking on Coursera metadata, no user interaction data required.

  • Updated May 23, 2026
  • Python

Student Onboarding & Course Recommendation Platform — A modern web application built with Vite and React, featuring user authentication, profile management, and interest-based course suggestions. It leverages K-Means Clustering for intelligent student grouping and peer pairing to enhance collaborative learning. Future plans include integrating a pe

  • Updated Mar 4, 2026
  • JavaScript

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