Full-Stack Development
May 2024

SwipeShop

A mobile e-commerce application with swipe-based product discovery and AI-powered recommendations built with Flutter and Python.

SwipeShop

About the Project

SwipeShop is a modern mobile shopping application that revolutionizes the e-commerce experience through an intuitive swipe-based interface. The app combines a Flutter-based frontend with a Python backend, integrating machine learning models for personalized product recommendations and user preference analysis. Built with cross-platform compatibility in mind, SwipeShop offers a seamless shopping experience across iOS and Android devices, featuring intelligent product discovery, real-time recommendations, and an engaging user interface that makes online shopping as easy as swiping through your favorite content.

Key Features

  • Swipe-based product discovery interface
  • AI-powered product recommendations using ML models
  • Cross-platform mobile app for iOS and Android
  • Python backend for data processing and model inference
  • Real-time user preference learning
  • Personalized shopping experience
  • Interactive product browsing with gesture controls
  • Research-driven recommendation algorithms

Challenges & Solutions

  • Implementing real-time ML recommendations on mobile devices
  • Creating an intuitive swipe-based UI/UX for product discovery
  • Optimizing backend-frontend communication for smooth user experience
  • Balancing model complexity with mobile performance constraints
  • Managing user preference data and privacy considerations

Outcomes & Impact

  • Successfully deployed full-stack mobile e-commerce application
  • Integrated ML-based recommendation system with Flutter frontend
  • Achieved seamless cross-platform functionality
  • Created innovative swipe-based shopping interface
  • Built scalable Python backend for model serving

Technologies

FlutterDartPythonJupyter NotebookC++CMakeSwift

Tags

Mobile DevelopmentMachine LearningE-CommerceCross-Platform