Technology Stack
The core technologies and tools used to bring this project to life.
Tailwind
Next.jsThe Challenge
What problem was I trying to solve?
Website performance is critically impacted by unoptimized images, which account for 65% of web page weight on average. I identified several key problems in the market:
Complex desktop software required for batch image conversion
Manual, time-consuming process for developers and content creators
WebP format adoption hindered by conversion complexity
Poor user experience with slow loading websites due to large image files
Lack of AI-powered file naming for better SEO optimization
This created a significant barrier for developers and content creators who needed a simple, web-based solution for bulk image optimization.
The Solution
My approach to solving the problem.
I built a comprehensive web-based solution using modern technologies and a user-centered approach:
Technical Architecture
Next.js 14 with TypeScript for robust, type-safe development
Progressive Web App (PWA) for offline functionality and app-like experience
HTML5 Canvas API for client-side image processing (no server uploads needed)
Google Gemini AI integration for intelligent file naming and SEO optimization
Performance Optimizations
Custom React hooks with memoization for optimal re-rendering
AbortController implementation for canceling operations and memory management
Debounced inputs and real-time preview generation for immediate user feedback
User Experience Design
Drag-and-drop interface with visual feedback
Real-time compression previews with size reduction metrics
Preset quality configurations for different use cases
Bulk download as ZIP with automated file naming
The Result
The impact and outcomes of the project.
Performance Metrics
Lighthouse Performance: 95%
Accessibility: 100%
Best Practices: 100%
SEO: 100%
Impact & User Experience
70-90% file size reduction while maintaining visual quality
Zero-setup solution - works directly in browser without downloads
Sub-second processing for typical image batches
Privacy-focused - all processing happens client-side
Technology Stack
Frontend: Next.js 14, TypeScript, React 18, Tailwind CSS
UI/UX: Radix UI, Lucide React, Custom CSS animations
AI Integration: Google Gemini API for intelligent file naming
Deployment: Vercel with PWA optimization
Engineering Excellence
Custom hook architecture with sophisticated state management and performance optimization
Error boundary implementation with graceful failure handling and user recovery options
Memory management with automatic cleanup and resource optimization
Comprehensive testing strategy with utility testing and error scenario coverage
This project demonstrates expertise in modern React development, performance optimization, AI integration, and user-centered design, delivering a production-ready tool that solves a real market problem with measurable impact.