How to Build a Daily-Updating Mobile Photo Gallery
Create a sleek, mobile-optimized photo gallery website that automatically updates daily, featuring full-screen images displayed chronologically with subtle swipe animations for seamless navigation.
Simple Summary
A minimalist, mobile-friendly photo gallery website with daily automatic uploads, displaying full-screen images chronologically with subtle swipe animations.
Product Requirements Document (PRD)
Goals
- Develop a minimalist photo gallery website
- Implement automatic daily photo uploads
- Optimize for mobile viewing with full-screen images
- Create a chronological display of photos
- Incorporate subtle swipe animations for navigation
Target Audience
- Photography enthusiasts
- Mobile users who appreciate minimalist design
- Individuals interested in daily visual updates
Key Features
- Automatic daily photo uploads
- Full-screen image display optimized for mobile
- Chronological ordering of photos
- Subtle swipe animations between images
- Infinite scroll or swipe navigation
- Content Delivery Network (CDN) integration for fast loading
User Stories
- As a user, I want to view the latest photo in full-screen on my mobile device.
- As a user, I want to swipe through photos chronologically with smooth animations.
- As a user, I want to see new photos added daily without any action on my part.
- As a user, I want images to load quickly, even on slower mobile connections.
User Flows
- User opens website -> Latest photo displays full-screen
- User swipes left -> Next chronological photo displays with animation
- User swipes right -> Previous chronological photo displays with animation
Technical Specifications
Recommended Stack
- Frontend: React.js with Next.js for server-side rendering
- Backend: Node.js with Express
- Database: MongoDB for storing image metadata
- Image Storage: Amazon S3 or similar cloud storage
- CDN: Cloudflare or Amazon CloudFront
- Deployment: Vercel (frontend), Heroku (backend)
Core Technical Decisions
- Use a headless CMS (e.g., Strapi) for easy photo uploads and management
- Implement lazy loading for images to improve performance
- Utilize service workers for offline capabilities and improved loading times
- Implement server-side rendering for better SEO and initial load performance
- Use WebP image format for better compression and faster loading
API Endpoints
- GET /api/photos - Retrieve list of photos (paginated)
- GET /api/photos/:id - Retrieve specific photo details
- POST /api/photos - Upload new photo (admin only)
Database Schema
Photos:
- id: ObjectId
- url: String
- uploadDate: Date
- order: Number
File Structure
/
├── frontend/
│ ├── pages/
│ │ ├── index.js
│ │ └── _app.js
│ ├── components/
│ │ ├── PhotoViewer.js
│ │ └── SwipeAnimation.js
│ └── styles/
│ └── globals.css
├── backend/
│ ├── server.js
│ ├── routes/
│ │ └── photos.js
│ └── models/
│ └── Photo.js
└── shared/
└── config.js
Implementation Plan
- Set up project structure and version control
- Implement backend API and database integration
- Develop frontend photo viewer component
- Implement swipe animations and navigation
- Set up automatic daily upload system
- Integrate CDN for image delivery
- Optimize for mobile and implement responsive design
- Implement lazy loading and performance optimizations
- Set up deployment pipelines
- Conduct thorough testing and bug fixes
Deployment Strategy
- Deploy frontend to Vercel for automatic builds and global CDN
- Deploy backend to Heroku for easy scaling and management
- Use MongoDB Atlas for database hosting
- Implement Cloudflare as CDN for global image distribution
Design Rationale
The technical decisions were made to prioritize performance and user experience on mobile devices. React and Next.js provide a robust foundation for building a responsive, fast-loading single-page application. The use of a CDN and optimized image formats ensures quick loading times for high-resolution images. The backend is kept simple with Node.js and Express, focusing on efficient API endpoints for photo retrieval. MongoDB was chosen for its flexibility in storing image metadata and easy integration with Node.js. The overall architecture supports the key requirements of daily updates, chronological display, and smooth navigation, while maintaining a minimalist, photo-focused user experience.