What I Built
I built a Virtual Fashion Stylist — a consumer-facing, non-conversational AI experience that helps users get styled instantly without chatting with a bot.
Instead of asking questions, users interact visually: they select a clothing item (for example, a dress), and the app proactively suggests complementary items such as shoes, bags, or accessories. The experience feels natural and fast, like browsing a smart fashion catalog that “just knows” what goes well together.
The workflow enhanced is style discovery and outfit completion, helping users make confident fashion choices with minimal effort.
Demo
🔗 Live Demo:
Vercel: fashion-stylist-kruhz6c2c-ezeh-chidinmas-projects.vercel.app
GitHub: https://github.com/chidinma-Eze/fashion-stylist.git
📸 **Screenshots
How I Used Algolia Agent Studio
I used Algolia Search and Agent Studio concepts to power the intelligence behind a non-conversational styling agent.
Indexed Data
I indexed a structured fashion dataset into Algolia, including:
- Item name
- Category (dress, shoes, bag, accessories)
- Style tags (casual, formal, party, streetwear, etc.)
- Color
- Image URLs
Each record was designed to support fast filtering and relevance-based retrieval.
Retrieval-Driven Styling
When a user selects a clothing item:
- The app queries Algolia using filters and relevance rules
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Matching items are retrieved based on:
- Style compatibility
- Category relationships
- Color harmony
This retrieval step acts as the “agent logic” — instead of conversation, search results drive decisions.
Targeted Prompting Approach
Rather than free-form prompts, I engineered structured, intent-based queries:
- Filter by complementary categories
- Boost items with matching style tags
- De prioritize irrelevant results
This ensures consistent, explainable, and fast styling suggestions.
Why Fast Retrieval Matters
Fast retrieval is critical to the user experience because this app is interaction-first, not chat-first.
Algolia’s speed allows:
- Instant outfit suggestions as soon as an item is clicked
No loading delays that would
break the visual flowA smooth, app-like experience similar to modern fashion platforms
Because results are contextual and near-instant, users perceive the app as “smart” rather than “automated.” This responsiveness is what makes the styling agent feel helpful and intuitive, even without conversation.
Cover Image (Optional)
A screenshot showing:
- A selected fashion item
- The “Complete the Look” recommendations grid
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