NYCInfo Tours — Serverless Booking Platform 🗽

A full-stack, serverless web application for browsing NYC tour packages and submitting tour bookings and applications.
Built as a portfolio project to demonstrate modern cloud-native architecture using AWS.

🌐 Live Demo:
👉 https://www.nycinfotours.app/

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✨ Features

• Responsive tour booking and application forms
• Real-time price calculation with tax
• Client-side validation (including payment input masking)
• Confirmation emails via Amazon SES
• Serverless backend with AWS Lambda + DynamoDB
• Global CDN delivery via CloudFront + custom domain from Porkbun
• HTTPS secured with AWS Certificate Manager (ACM)

⚠️ Note: This is a portfolio/demo project. No real payments are processed and no sensitive payment data is stored.

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🧱 Architecture Overview

Frontend

• Static HTML, CSS, and Vanilla JavaScript
• Hosted on Amazon S3
• Delivered globally via Amazon CloudFront
• Custom domain managed through Porkbun

Backend

• AWS Lambda (Node.js)
• Amazon DynamoDB (Applications & Bookings tables)
• Amazon SES for transactional emails
• API Gateway (HTTP API)

Security & Best Practices

• No credit card data is stored or transmitted
• Client-side masking for sensitive fields
• Serverless IAM policies scoped per function
• HTTPS enforced via CloudFront

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🛠 Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Node.js (AWS Lambda)
• Database: Amazon DynamoDB
• Email: Amazon SES
• Infrastructure: AWS SAM, CloudFront, S3, ACM
• Domain & DNS: Porkbun

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📧 Email Notifications

Users receive confirmation emails after:

• Submitting a booking
• Submitting an application

Emails include:

• Selected tour package
• Transportation option (if applicable)
• Number of guests
• Date & time
• Total price
• Contact information for changes

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🚀 Local Development

sam build
sam local start-api

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Academic & Ethical Integrity

This project was created solely for educational and portfolio purposes.

• All code in this repository was written by the author unless explicitly stated otherwise.

• No coursework, assignments, or assessments were submitted using this project.

• No real payments are processed, and no sensitive financial data is stored or transmitted.

• Any resemblance to real businesses or services is purely coincidental.

NOTE: This repository is shared for learning and reference only. Direct copying or submission of this work as part of academic coursework or professional evaluations is strongly discouraged and may violate academic or institutional integrity policies.

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