AI-powered Personal Stylist
#iitpatnacapstone
1. Problem Statement
Online fashion customers often hesitate to purchase an outfit because they are unsure how to style it, where to wear it, and what accessories to pair with it.
For a monotone fashion brand such as Riti Vastra, where the collection is exclusively focused on black and white fashion, customers may also need personalized suggestions on creating different looks while maintaining the brand's monotone aesthetic.
Currently, styling advice is often generic, requires manual assistance, or involves browsing through multiple sources.
2. Proposed Solution
Riti AI Stylist is a Generative AI-powered web app that acts as a personal fashion stylist for Riti Vastra customers.
Users can select a Riti Vastra outfit, specify their occasion, preferred style, and personal preferences, and receive an AI-generated personalized styling recommendation.
The AI will suggest complementary footwear, accessories, bags, beauty suggestions, and overall styling, while considering the selected Riti product and maintaining the brand's black-and-white identity.
Users can also interact with the AI through follow-up questions and modify their look according to their preferences.
3. Key Features
· Product Catalogue
· AI Styling Assistant
· Conversational Styling
· Save My Looks
· Shop the Look
4. Technology Stack
| Category | Tool |
|---|---|
| AI / LLM | OpenAI API |
| App Builder | Lovable |
| Database & Authentication | Supabase |
| Automation (If required) | Make.com / n8n |
5. Expected Outcome
The project will deliver a working AI-powered web application MVP that demonstrates how Generative AI can be integrated into a real fashion retail use case.
The MVP will allow customers to receive personalized styling recommendations in seconds, potentially improving customer engagement, purchase confidence and product discovery.
Posted Sep 12, 2026, 8:40 AM UTC