DressIT

She Wears Your Gift

Production
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DressIT Platform Screenshot

Overview

DressIT is a revolutionary platform where men gift women fashion items with real money, while women showcase their style and gain financial freedom in the fashion world. It's not just a dating app — it's a new gift economy where every outfit has value.

Women create wishlists of desired items and showcase their style through outfit photos. Men choose their favorite look and send money directly for the purchase. It's a win-win: women get what they want, men enjoy the joy of a perfect gift.

Key Features

For Women

  • Style Showcase — create a profile with outfit photos and demonstrate your fashion taste
  • Fashion Wishlist — add desired items from any stores
  • Direct Gifts — receive money directly to your card without fees
  • Thank You Photos — share photos wearing gifted outfits

For Men

  • Smart Search — filters by style, age, interests
  • Easy Gifting — choose a specific outfit and pay with one click
  • Gift History — track all gifts and responses
  • Privacy — anonymous gifts and personal data protection

Technical Stack

Cross-platform mobile application with secure payment processing and real-time notifications.

Frontend

  • React Native (iOS & Android)
  • Expo for rapid development
  • React for web interfaces

Backend

  • Node.js with Express
  • Prisma ORM
  • PostgreSQL database
  • RESTful API design

Infrastructure

  • PM2 process management
  • Nginx reverse proxy
  • SSL/TLS encryption
  • Automated deployments

Services

  • Payment webhooks
  • File upload handling
  • Email notifications
  • Analytics tracking

My Role

Full-stack development from concept to production launch:

  • Built iOS and Android mobile applications from scratch
  • Developed complete backend infrastructure with payment integration
  • Implemented secure Stripe payment processing
  • Created user profiles, wishlists, and gift tracking systems
  • Set up production deployment and monitoring
  • Designed database architecture for scalability