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My Personal Project Description
Market Research and UX Research
Researched competitor tools to define differentiation and UX priorities.
Evaluated product-market fit for AI-driven skincare recommendation in e-commerce.
Researched user needs for online skincare diagnosis and shopping flow.
Designed user journey from camera capture → AI analysis → product recommendation.
Added countdown, oval overlay, and progress indicators to guide users during photo capture.
AI / Machine Learning
Collected and labelled facial skin datasets for training detection models.
Trained and fine-tuned AI models (YOLO/Roboflow)
Benchmarked model performance and optimised inference for real-time usage.
Full Stack Development
Connected frontend (JS + MediaPipe) with backend (FastAPI on Render).
Integrated multiple Roboflow AI models
Processed annotated images and returned JSON payload with detected concerns + recommendations.
Integrated OpenAI GPT API to generate personalised product suggestions.
WordPress Development
Built a custom WordPress plugin with WooCommerce integration.
Created a settings page for the admin to import products and configure AI confidence levels.
Implemented an AJAX bridge for secure communication between WP and Python backend.