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