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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.

Language: JavaScript - Size: 57.6 KB - Last synced at: about 19 hours ago - Pushed at: about 20 hours ago - Stars: 1 - Forks: 0

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.

Language: JavaScript - Size: 10.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

StudyTrigger/react19-vite-starter

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

Language: JavaScript - Size: 43 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

StudyTrigger/React-React_Login

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

Language: CSS - Size: 56.6 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

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

Language: JavaScript - Size: 42 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

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.

Language: Python - Size: 2.33 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0