The project aimed to revolutionize the traditional shopping experience by reducing reliance on manual consultants and meeting the modern consumer’s demand for personalized, digital-first interactions. The solution integrates advanced Computer Vision (CV) for facial analysis, an Augmented Reality (AR) “fitting room” for virtual try-ons, and a GPT-enhanced chatbot that acts as a personalized beauty consultant, providing tailored skincare and makeup recommendations based on individual skin types and facial features.
The development was executed in multiple phases, starting with a cloud marketplace optimization using AWS to ensure scalability and secure transactions. This was followed by the implementation of a sophisticated CV module capable of detecting eye color, skin tone, and skin conditions like wrinkles or breakouts. The integration of a recommendation system and AR technology allowed users to experiment with products virtually before purchasing, leading to a significant boost in customer engagement. Ultimately, the platform is expected to drive a 10% increase in sales and up to a 10% growth in customer retention rates through its highly personalized and interactive interface.
Project Details:
- Location: USA
- Time Spent: November 2021 – Ongoing
- Industry: Beauty / Retail
- Core Technologies: OpenCV, TensorFlow, ARKit, AWS, and GPT models
- Key Features: Facial skin analysis, virtual makeup try-on (AR), personalized product recommendations, and 24/7 AI chatbot consultant
- Business Impact: Anticipated 10% revenue growth from upselling/cross-selling and a 5–8% reduction in inventory costs
- Services Provided: Web and mobile development, Natural Language Processing, Computer Vision, and UI/UX design
