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Projects in Awesome Lists by StudyTrigger

A curated list of projects in awesome lists by StudyTrigger .

https://github.com/studytrigger/react19-word-chain-game

The Word Chain Game is a delightful project that combines fun gameplay with practical coding concepts in React 19. You can explored how to create a fully functional word game that validates user input, manages turn-based logic, and provides an engaging user interface. By implementing this project, you’ve gained hands-on experience with React's core

frontend react react-19 react-project react-projects react-projects-for-beginners reactgame vite

Last synced: 15 Mar 2025

https://github.com/studytrigger/react_header_with_node

This project is a simple React-based web application with a dynamic navbar menu, where the menu items are fetched from a Node.js backend that retrieves them from a MongoDB database. Axios is used for API calls between the frontend and backend.

api axios dynaminc-header mongodb moongoose node react

Last synced: 07 May 2025

https://github.com/studytrigger/axios-api

This project is a simple RESTful API built using Node.js, Express, and CORS, allowing users to perform CRUD operations (GET, POST, PUT, PATCH, DELETE) on a sample dataset. The API is hosted on Render, making it accessible for students to practice HTTP requests using Axios in their frontend applications.

api axios delete-api get-api getapi node nodeapi post-api put-api

Last synced: 04 Mar 2025

https://github.com/studytrigger/react-react_login

A simple and responsive login page built with React. This project demonstrates basic React concepts. Important who learn about react.

Last synced: 15 Mar 2025

https://github.com/studytrigger/react19-vite-starter

A starter project template for building React 19 applications using Vite.

Last synced: 15 Mar 2025

https://github.com/studytrigger/aqi-analysis

This project analyzes Air Quality Index (AQI) data to understand pollution trends. It includes data visualization, analysis of key pollutants, seasonal variations, and insights into air quality improvements or concerns. Built using Python, with libraries like Pandas and Matplotlib.

Last synced: 15 Mar 2025