EcoMind AI

EcoMind AI is an educational, privacy-conscious shopping companion for clothing and textile product pages. After you select "Analyse this product", EcoMind reads the active page locally, identifies disclosed material composition and related product details, and applies a transparent deterministic prototype formula. The injected koala drawer keeps retailer evidence, EcoMind estimates, user corrections and missing data visibly separate. Key features: - user-activated local analysis of the current product page; - best-effort live support for Amazon US/UK clothing pages, with unsupported pages identified honestly; - visible evidence sources, missing fields and confidence; - provisional score, or a score-withheld result, when evidence is insufficient; - separate seller-provided, user-provided and independently verified certification states, including careful OEKO-TEX handling; - optional user-labelled corrections stored only on the device; - saved extracted fields for comparison across products and retailers; - a copyable plain-text or JSON summary of any analysis; - accessible traffic-light explanations whose thresholds are shared with the web app; - optional Supabase email-OTP sign-in, backend leaderboard profile and weekly EcoPoints summary; - no external product-analysis server, advertisements or payment-data access. Scores are educational prototype estimates, not certifications or lifecycle assessments. Retailer compatibility is best-effort and no retailer partnership is claimed.