Perfume Lens

Perfume Lens

AI-powered fragrance discovery

iOS & Android · Mobile Development · AI

The Project

Perfume Lens is an AI-powered fragrance discovery app designed to help users explore and find their perfect scent. The app combines computer vision, personalized recommendations, and social features to create a unique experience for fragrance enthusiasts.

The fragrance market is massive but overwhelming — thousands of options with no easy way to discover what you'll actually like. Perfume Lens solves this by letting users simply point their phone camera at any perfume bottle to instantly identify it, read reviews, and get personalized recommendations based on their scent profile.

The Challenge

Building a reliable bottle recognition system required training custom ML models on thousands of fragrance products across varied lighting conditions, angles, and packaging. The app also needed to deliver recommendations that felt genuinely personal — not just popularity-based sorting, but actual scent-profile matching that improves over time as users rate fragrances.

Our Approach

We worked closely with the Perfume Lens team to build a cross-platform mobile app with a cloud-native backend capable of handling real-time image recognition. The architecture separates the camera recognition pipeline from the recommendation engine, allowing each to be optimized independently. User feedback loops continuously improve both systems.

Key Capabilities

  • AI-Powered Discovery - Intelligent fragrance recommendations tailored to your preferences and scent history
  • Camera Recognition - Point your camera at any bottle to instantly identify it using computer vision and OCR
  • Smart Search - Find fragrances using natural language queries like "fresh citrus for summer"
  • Collection Tracking - Organize and manage your personal fragrance collection with ratings and notes
  • Community - Connect with other fragrance enthusiasts, share reviews, and discover trending scents

Tech Highlights

Core

Mobile

Cross-platform (iOS & Android)

AI

Intelligence

Multiple AI/ML models

Cloud

Infrastructure

Cloud-native architecture

AI

Vision

Computer vision & OCR

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