👗 MODAIA AI: Your AI-Powered Personal Stylist
💡 Inspiration
MODAIA was born from a simple yet universal frustration: “I have somewhere important to go—but nothing to wear.” Whether it’s a glamorous event like the Grammys, a cozy date night at Nobu, or an important work pitch, most of us struggle to find outfits that match the occasion, our personal style, and our body type.
MODAIA is where fashion meets intelligence. It empowers users to describe their destination and vibe—and lets AI handle the rest.
🚀 What It Does
MODAIA helps you: • Describe your event or moment in natural language (e.g., “Date night at Nobu, black dress code, but I want to wear gold in an Egyptian style.”) • Get AI-curated outfit recommendations based on: • Your body type (e.g., pear-shaped, athletic) • Moodboards (optional: sync Pinterest/IG for vibe scraping) • Event context and cultural cues • Shop directly from 400+ trusted fashion brands (with live product links) • Explore wardrobes and picks from your favorite creators
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🛠️ How We Built It
👥 Team Tools & Stack: • Frontend: React + TailwindCSS (low-fidelity Figma wireframes first) • Backend: Supabase • AI: GPT-4 for event-to-style translation & tone-aware fashion suggestions • OpenCV & CLIP for moodboard image analysis (via uploaded files or Apify scrapers) • APIs & Integrations: • Pinterest & Instagram scraping via Apify (for user mood/vibe) • Stripe for future in-app checkout flows • Affiliate product catalogs via Rakuten/ShopStyle
🧠 What We Learned • Fashion is deeply contextual. Just knowing the occasion isn’t enough—the AI had to learn to consider mood, culture, dress code flexibility, and self-expression. • Parsing vague user input (like “I want to feel like Cleopatra at brunch”) pushed us to tune prompts for emotional, visual, and cultural understanding. • Working with multi-brand APIs and shopping flows taught us how fragmented the e-commerce ecosystem really is.
⚠️ Challenges We Faced • No universal “Add to Cart” API: We had to decide between affiliate networks, direct brand partnerships, and payment gateway integrations. • Image moodboard scraping from social platforms (Pinterest, Instagram) posed legal and technical challenges—Apify helped but required custom flows. • Styling for inclusivity and body types meant mapping AI outputs to real-world sizes and fits, which aren’t always well-defined in e-commerce data.
🏆 What Makes MODAIA Special
MODAIA doesn’t just recommend clothes—it helps users see themselves in the outfit, feel empowered, and own the moment. It combines style, smarts, and soul.
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