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Nextjs Travel Planner

Nextjs Travel Planner

Author Avatar Theme by koolkishan
Github Stars Github Stars: 117
Last Commit Last Commit: Feb 13, 2024 -
First Commit Created: Nov 5, 2024 -
Nextjs Travel Planner screenshot

Overview

This project showcases an impressive combination of modern web technologies designed to enhance both functionality and user experience. Leveraging Next.js 14 alongside Tailwind CSS, it offers a striking, contemporary interface while ensuring efficient backend operations. The ability to scrape live data seamlessly and manage state effectively makes this project a noteworthy contender in the realm of web applications.

Features

  • Next.js 14 App Directory with Tailwind CSS: Experience a sleek and modern UI powered by the latest front-end innovations, ensuring a visually appealing look and feel.
  • API Routes & Server Actions: Benefit from seamless backend integration that enables efficient data handling and execution of server-side logic.
  • Scraping with Puppeteer, Redis, and BullMQ: Harness advanced web scraping capabilities with Puppeteer while utilizing Redis and BullMQ for effective queue and job management.
  • JWT Tokens for Authentication and Authorization: Implement secure authentication and authorization mechanisms, safeguarding your application with industry-standard practices.
  • Stripe for Payment Gateways: Easily integrate Stripe to facilitate secure and hassle-free payment processing for bookings and transactions.
  • Book Trips, Flights, and Hotels: Simplify your travel reservations with a Stripe-powered payment system designed for effortless booking experiences.
  • Scrape Live Data from Multiple Websites: Stay updated with real-time data scraping from various sources, ensuring your application maintains current and relevant information.
  • Store Scraped Data in PostgreSQL with Prisma: Utilize PostgreSQL and Prisma for reliable data storage and management, enhancing both performance and speed.
  • Zustand for State Management: Enjoy smooth state management in your application, simplifying state logic while optimizing overall performance.