A course recommendation system using the Coursera Courses dataset which contains over 3,000 courses.
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Updated
Nov 4, 2023 - Jupyter Notebook
A course recommendation system using the Coursera Courses dataset which contains over 3,000 courses.
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
An AI assistant for a Learning Management System (LMS)
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
Course Recommender System, powered by Flask, delivers tailored course suggestions based on user interests. Using content-based filtering and MongoDB integration
An Elective Courses Recommender System
This is a AI Course Recommendation chatbot based on Coursera Data using content/rule based algorithms.
本專案運用 Python 爬蟲整理台灣各大學的公開課程資料,並結合 Coze 工作流,實作一個能推薦對應學習內容的課程機器人。藉由整合爬蟲收集的課程資訊與 Coze 的工作流程設定,提供使用者更快速、更精準的學習資源建議。
Course project for ELEC-E5550 Statistical Natural Language Processing
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.
An app that helps students when applying for courses at public universities in uganda
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.
This is Final Year project. A Course Recommendation System using Sikkim Manipal Institute of Technology Courses dataset.
Full Stack MERN Learning Management System with Course Recommendations, Progress Tracking, Certificates, Dashboard Analytics and Admin Panel.
A full-stack MERN EdTech platform with JWT authentication, course enrollment, progress tracking, and personalized course recommendations using skills, interests, categories, and tags.
MERN-based online learning platform featuring AI-powered course recommendations, quizzes, progress tracking, enrollments, certificates, and personalized learning paths.
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.
A production-ready ensemble of 5 machine learning models that automate employee training recommendations, predict course completion, bench duration, training delays, and success rates. Features demand-aware recommendations using XGBoost, achieving 96.3% accuracy with minimal overfitting.
a Smart Study Advisor system using multiple programming paradigms.
A Spring Boot and Vue based smart learning guidance platform for course recommendation, learning analytics and knowledge diagnosis.
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