14Full-Stack Development
SwipeShop
A mobile e-commerce application with swipe-based product discovery and AI-powered recommendations built with Flutter and Python.
The idea behind it
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.
What it does
- 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