Project Overview

Reflecto is an innovative smart mirror concept that combines computer vision, artificial intelligence, and IoT to deliver personalized clothing recommendations in real-time. Using an integrated camera, the system analyzes user characteristics (body shape, silhouette, skin tone) and suggests outfits adapted to daily context.

Technical Development

- Frontend: Built with Next.js, React, TypeScript, and Tailwind CSS for a modern, responsive interface.
- Computer Vision: Integration of OpenCV / TensorFlow for visual analysis and body detection.
- IoT Integration: Arduino-based mirror module communicating via API/HTTP/WebSocket with the web platform.
- AI Engine: Generative AI for contextual clothing recommendations based on multiple data sources.

Features

- Smart Visual Analysis: Body morphology detection, silhouette analysis, and skin tone recognition for personalized suggestions.
- Contextual Recommendations: Outfit suggestions adapted to weather (real-time API), personal calendar, time of day, and season.
- Conversational Interface: Natural language interaction for personalized fashion queries.
- Voice Synthesis: Audio restitution of recommendations for hands-free interaction.
- Look History: Track style evolution and remember user preferences over time.
- Accessibility: Designed for visually impaired, elderly, and neurodiverse users.

Architecture

The current web version serves as the central hub: handling AI processing, user interface, and communication with IoT components. Data (images, user commands) is processed on the web platform and sent to the Arduino-based mirror module for display and physical interaction. A mobile version is planned for camera/mic-based interaction without IoT dependencies.

Highlights

- Live Demo: Try Reflecto.
- Multi-Technology: Bridges web, AI, IoT, and hardware in a single cohesive product.
- Real-World Impact: Addresses daily fashion decisions with intelligent, personalized assistance.

Conclusion