B2C Online Education Website, Development Model of Separation of Frontend and Backend, MVC Design Pattern, Course Recommendation System

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This is a full stack web application that uses data scraped from the UTS handbook to recommend subjects using an AI that takes data from the past subjects a student has taken and a personality quiz. It was developed using Angular, Node.js, Python (with Flask and Scikit) and MySQL hosted on AWS (Amplify, API Gateway, Lambda, RDS and EC2). This was a project I developed in a team of people and I was a full stack developer (developed almost the entire backend).

Interactive web frontend for the AI-powered personalized learning platform with adaptive course recommendations, real-time progress tracking, and intelligent tutoring interface.

A mobile application that provides personalized course recommendations for university students. Uses web scraping to gather course data and machine learning algorithms for recommendation. Built with Flutter (frontend) and Python Flask (backend). Integrates BeautifulSoup for web scraping and scikit-learn for machine learning.

Smart LMS – MERN Stack e-learning platform with JWT auth, Stripe payments, course management, and AI-inspired recommendations. Responsive React frontend & secure Node.js backend.

NovaLearn Frontend – A modern React-based e-learning platform providing seamless course browsing, personalized recommendations, real-time notifications, and aspect-based sentiment analysis for lesson comments.

This project is a Course Recommendation App called Corsódigo that integrates FastAPI for the backend and Next.js for the frontend. The application provides recommendations based on a user's query and displays course cards in an interactive way, with the ability to expand into a detailed view.

A modern, AI-powered Learning Management System (LMS) frontend built with React.js. This application provides an intuitive UI for course management, user enrollment, progress tracking, quizzes, and personalized learning recommendations.

Create a React-based online learning platform frontend with pages for signup/login, course listing, course details, student enrollment, and instructor course management. Include an AI recommendations section that calls a GPT-3 backend endpoint. Deploy the React app on a cloud platform so it’s accessible online.

The LMS Job Portal combines online learning with job opportunities. Users can enroll in courses, earn certifications, and apply for jobs. Employers can post job listings, while AI recommendations match students with relevant courses and jobs. Built with Node.js (backend) and React (frontend).

A high-performance Retrieval-Augmented Generation (RAG) pipeline for personalized course recommendations. It leverages OpenAI GPT-4 and text-embedding-ada-002 with a Pinecone vector database for sub-second semantic retrieval. Built with a Streamlit frontend and containerized with Docker to provide fact-grounded, contextually accurate suggestions.

Full-stack e-learning platform featuring a FastAPI backend and a React/Tailwind (Vite) frontend. It tracks course and resource progress in real time, auto-generates implicit ratings from viewing behavior, and delivers personalized recommendations via an SVD-based machine learning pipeline, with explicit ratings stored and displayed for users.

A simple course recommendation system using HTML, CSS, and JS

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Frontend for course recommendation system

The LMS online learning withUsers can enroll in courses, earn certifications, while AI recommendations match students with relevant courses Built with Node.js (backend) and React (frontend).

This app is built as a class project for the course Algorithms for Intelligent Web. This is basically a food recommendation system. The data for the recommendation system was taken from the website Yummly. Website under construction. Front End part completed. Back End part completed. Integration between backend and frontend should be done.

This is the Northwestern course recommendation system with frontend

Recommendation system FRONTEND for Heriot Watt PG Course Prototype

Model Web Frontend Framework Recommendation in course Data Mining Techniques , KMITL

react_course_app - React frontend making recommendations based on time of year

A course recommendation system, using python for backend and django python framework for frontend

B2C Online Education Website, Development Model of Separation of Frontend and Backend, MVC Design Pattern, Course Recommendation System