Full-Stack Hotel Booking App with Next.JS, MERN STACK
Published 7/2025
Created by aryan Kumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 136 Lectures ( 34h 4m ) | Size: 21.2 GB

Build & deploy a GenAI booking platform using MUI, React, Node.js, MongoDB, Stripe, Razorpay & PayPal, Vercel / Cloud

What you'll learn
Build a complete hotel booking platform using Next.js (App Router), React, Node.js, Express, and MongoDB from scratch.
Integrate generative AI features like AI-powered chat assistant and smart booking suggestions using gemini API and custom prompts
Implement advanced payment systems with Stripe, Razorpay, and PayPal-including dynamic pricing, local currency, and invoice generation
Create a fully functional date-based room booking system, including availability check, real-time booking calendar, and booking code generation
Set up secure authentication & authorization using NextAuth with role-based access for users, admins, and hotel managers
Build dynamic admin & user dashboards to manage bookings, users, room types, and hotel settings using Material UI
Deploy the entire app on Vercel or your preferred cloud platform, including environment configuration and production-ready builds
Master full-stack architecture & API development, including RESTful APIs, MongoDB models, secure endpoints, and real-time features

Requirements
Basic Understanding of JavaScript: Familiarity with JavaScript fundamentals, including variables, functions,
basic React: A basic understanding of React, including components, props, and state management.
Basic HTML and CSS Knowledge: Familiarity with HTML and CSS to build and style web pages
Devlopment Environment Setup: A computer with internet access, and vs code text editor

Description
Want to build a real-world AI-powered hotel booking app with live dashboards, modern payments, and intelligent features?This full-stack course teaches you how to design, develop, and deploy a production-ready hotel booking platform using the latest tech stack: Next.js 14, React, MongoDB, Node.js, and Generative AI. Along the way, you'll integrate powerful tools like Recharts for analytics, react-simple-maps for geolocation, and Stripe, Razorpay & PayPal for modern, real-world payments including UPI, wallets, credit/debit cards, and Buy Now Pay Later options. What You'll Learn Build a complete MERN Stack hotel booking platform using Next.js App Router Add Generative AI to provide smart hotel suggestions or chatbot-style assistance Create a professional, responsive UI with Material UI (MUI) Implement secure JWT-based authentication and role-based dashboards (Admin, Hotel Owner, User) Add core booking logic: hotels, rooms, pricing, availability, cancellations Accept payments through Stripe, Razorpay, and PayPal supporting: UPI Wallets (e.g., Paytm, PhonePe) Credit/Debit Cards Net Banking Buy Now, Pay Later (BNPL) Build a powerful Admin Dashboard with:     Sales Reports: View total bookings, revenues, and monthly trends     Trend View & Monthly View Charts using Recharts Track monthly user growth using animated bar and line charts Display user geolocation on an interactive world map using react-simple-maps Deploy your app to Vercel / Cloud with performance best practices Why This Course? SaaS-Ready Project: Build a platform you could pitch, sell, or deploy for real-world use AI Integration: Use GenAI for personalized features Modern Payments: Cover every major payment option, especially for India & global audiences Real-Time Analytics: Admin dashboard with sales & user insights powered by Recharts User Mapping: Visualize global activity using react-simple-maps Production Deployment: Learn cloud-ready deployment with Vercel Technologies & Tools You'll MasterNext.js 15 (App Router)React + MUI (Material UI)Node.js + Express.jsMongoDB + MongooseStripe, Razorpay, PayPal SDKs (for UPI, cards, wallets, BNPL, etc.)Recharts (Monthly User Growth, Sales Reports, Trend Views)react-simple-maps (User Geolocation Map)Cloudinary / Multer (Image Uploads)JWT Auth + Role MiddlewareAI/GenAI API IntegrationVercel / Cloud Deployment Who Should Take This Course?Developers who want to build advanced full-stack apps with AI and paymentsFreelancers building booking systems, dashboards, or SaaS platformsEntrepreneurs validating a hotel/room booking startupStudents wanting a portfolio project that actually feels like a real productAnyone looking to master modern frontend + backend + analytics + AI By the end of this course, you'll have a real, scalable hotel booking platform - complete with AI features, user tracking, full payment integration, sales reporting, and more. It's the ultimate full-stack SaaS project to launch or showcase.Enroll now and build something professional, powerful, and profitable!

Who this course is for
Entrepreneurs and Freelancers: Business owners and freelancers who want to build custom web applications or job portals to meet specific business needs or client requirements.
fontend devloper
React Developers: React developers who want to deepen their understand
Web Development Enthusiasts: Individuals passionate about web development who want to learn cutting-edge technologies and build real-world projects to enhance their portfolios
Web Developers Seeking Advanced Skills
Tech Hobbyists
. Computer Science Enthusiasts

Homepage

https://anonymz.com/?https://www.udemy.com/course/full-stack-hotel-booking-app-with-nextjs-mern-stack/

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https://rapidgator.net/file/f26e75e77cf5ba72664faa157dafe665/Full-Stack__Hotel_Booking_App_with_Next.JS,_MERN_STACK.part1.rar.html
https://rapidgator.net/file/84fe450c3c222c137c251b892af6b942/Full-Stack__Hotel_Booking_App_with_Next.JS,_MERN_STACK.part2.rar.html
https://rapidgator.net/file/3adfb38fc3c32c13909a51db463a8a38/Full-Stack__Hotel_Booking_App_with_Next.JS,_MERN_STACK.part3.rar.html
https://rapidgator.net/file/1f4bddfefa6d9ee60bec54a7828cb08e/Full-Stack__Hotel_Booking_App_with_Next.JS,_MERN_STACK.part4.rar.html
https://rapidgator.net/file/aaadc1d1f61c3888222cef1770583524/Full-Stack__Hotel_Booking_App_with_Next.JS,_MERN_STACK.part5.rar.html

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