InstaLens is a sophisticated, full-stack web application that transforms Instagram profile analysis through AI-powered content intelligence. Built with modern web technologies, it provides real-time data scraping, advanced AI-driven content analysis, and comprehensive analytics dashboards for influencer marketing and brand management.
- Scalable Backend: Leveraging Supabase (PostgreSQL) with Row-Level Security policies
- Type-Safe Development: 100% TypeScript implementation for maintainability and fewer runtime errors
- Modern Build System: Vite for lightning-fast HMR and optimized production builds
- Component-Driven UI: shadcn/ui design system with 40+ reusable components
- Google Cloud Vision API: Advanced image analysis with object detection, OCR, facial recognition
- Intelligent Fallback System: Smart caption-based analysis when Vision API is unavailable
- Content Classification: Automated categorization of posts by type, sentiment, and engagement potential
- Real-time Processing: Asynchronous content analysis pipeline for optimal performance
- Responsive Design: Mobile-first approach with adaptive layouts for all screen sizes
- Dark Mode: System-aware theme switching with persistent user preferences
- Real-time Updates: Live data synchronization using Supabase Realtime subscriptions
- Accessibility: WCAG 2.1 compliant with keyboard navigation and screen reader support
- Authentication: Secure user authentication with JWT tokens and OAuth providers
- Data Encryption: Environment variables and API keys properly secured
- CORS Handling: Proper cross-origin resource sharing configuration
- SQL Injection Protection: Parameterized queries and ORM-level security
| Technology | Purpose | Why Chosen |
|---|---|---|
| React 18.3 | UI Framework | Virtual DOM, hooks, and concurrent features for optimal performance |
| TypeScript 5.6 | Language | Type safety, better IDE support, reduced runtime errors |
| Vite 6.3 | Build Tool | 10x faster than webpack, native ESM, instant HMR |
| Tailwind CSS | Styling | Utility-first CSS, minimal bundle size, rapid development |
| shadcn/ui | Component Library | Accessible, customizable, built on Radix UI primitives |
| Recharts | Data Visualization | Responsive charts, React-based, highly customizable |
| Technology | Purpose | Why Chosen |
|---|---|---|
| Supabase | Backend-as-a-Service | PostgreSQL database, real-time subscriptions, authentication, storage |
| PostgreSQL | Database | ACID compliance, JSON support, advanced indexing |
| Vercel | Hosting & CI/CD | Edge network, automatic deployments, serverless functions |
| Apify | Web Scraping | Instagram data extraction, rate limiting, proxy management |
| Technology | Purpose | Why Chosen |
|---|---|---|
| Google Cloud Vision API | Image Analysis | Industry-leading accuracy, comprehensive feature detection |
| Hono | API Framework | Lightweight, edge-compatible, TypeScript-first |
- ESLint: Code quality and consistency
- Git: Version control with conventional commits
- npm: Package management
- VS Code: Primary development environment
- Real-time profile scraping with Apify integration
- Historical data tracking and trend analysis
- Engagement metrics (likes, comments, shares, saves)
- Follower growth analytics
- Post performance benchmarking
- Visual Recognition: Detect objects, scenes, landmarks, logos
- Text Extraction (OCR): Extract text from images for searchability
- Face Detection: Identify faces and analyze expressions
- Color Analysis: Dominant colors and palette extraction
- Smart Fallbacks: Caption-based analysis when images unavailable
- Secure authentication with Supabase Auth
- User profiles with preferences
- Saved searches and favorite profiles
- Activity history and audit logs
- Mobile-optimized navigation with hamburger menu
- Touch-friendly interactions
- Progressive Web App (PWA) capabilities
- Cross-browser compatibility (Chrome, Firefox, Safari, Edge)
- Clean, professional design system
- Dark/Light mode with system detection
- Smooth animations and transitions
- Loading states and error handling
- Toast notifications for user feedback
- End-to-end implementation from database design to UI/UX
- RESTful API integration and real-time data handling
- Serverless architecture with edge functions
- TypeScript: 100% type coverage for maintainability
- Component Composition: Reusable, testable component architecture
- State Management: Efficient React hooks and context patterns
- Code Splitting: Lazy loading for optimal performance
- Error Boundaries: Graceful error handling and recovery
- Bundle Size: < 350KB gzipped (production build)
- First Contentful Paint: < 1.5s
- Time to Interactive: < 3.0s
- Lighthouse Score: 95+ (Performance, Accessibility, Best Practices)
- Database indexing for fast queries
- Caching strategies for frequently accessed data
- Rate limiting for API calls
- Lazy loading and code splitting
- CDN-optimized static assets
- Environment variable management
- Secure API key storage
- SQL injection prevention
- XSS protection
- CSRF token validation
- Content Security Policy (CSP) headers
- Total Lines of Code: ~15,000+
- Components: 50+ React components
- API Endpoints: 10+ service integrations
- Database Tables: 5 normalized tables
- Development Time: 4-6 weeks
- Test Coverage: Unit and integration tests
This project is deployed on Vercel with continuous integration from GitHub.
Detailed deployment guide: VERCEL_DEPLOYMENT.md
- Complete Setup Guide - Detailed installation and configuration
- Quick Start Guide - Get up and running in 5 minutes
- Content Analysis Guide - AI-powered content insights
- Deployment Guide - Deploy to Vercel step-by-step
- Production Security - Security best practices
- Original Design - Figma design reference
Himanshu - Full-Stack Developer
This project is part of a professional portfolio and is available for review by recruiters and potential employers.