AI-Powered Personal Shopper
ShopStack.ai helps users discover fashion items effortlessly. Simply describe what you're looking for:
"A maroon full-sleeve shirt under ₹1000 for a wedding"
ShopStack understands your query, searches online stores, and suggests the best matches.
- Natural Language Search – Describe outfits in plain text
- AI-Powered Outfit Suggestions – Personalized recommendations
- Image-Based Matching – Find visually similar items
- Daily Fashion Feed – Keep up with the latest trends
| Feature | What It Does |
|---|---|
| Image-to-Product Matching | Upload an image → find visually similar items from online stores |
| Live Fashion Trend Tracker | Daily/weekly trending outfits from blogs/social media |
| Event-Based Outfit Suggestions | Get outfit suggestions by occasion (fest, interview, etc.) |
| Smart Filter Chat | Chat-based refinement: “Can I get this in beige?” |
| AI Closet Integration | Upload your wardrobe → get personalized outfit suggestions and shopping recommendations |
| Use Case Suggestions | “Make me look taller” → LLM filters styles intelligently |
| Multi-store Aggregation + Price Comparison | Show products across Myntra, Amazon, Ajio, etc. Compare prices |
| Tool / API | Purpose |
|---|---|
| Gemini Vision | Process natural language descriptions into actionable queries |
| Gemini | Refines AI prompts for better recommendation results |
| Tavily API | Converts text queries into relevant product results |
| SerpApi | Fallback search engine results (Google/Bing) |
| Fast API (backend) | Handles image uploads and sends queries to the AI engine (under development) |
| React (frontend) | Displays image previews, product matches, and user interface components |
| Firebase | Cache product data or user searches for faster access |
| Pinecone | Vector database to store embeddings and retrieve exact or visually similar product matches efficiently |
- Backend AI and multi-store aggregation: Under development
- Frontend: Partially implemented, UI prototypes ready
- Core AI query pipeline partially implemented
- Improving recommendation logic and chat-based filters
- Complete AI recommendation engine
- User accounts & personalized wardrobe integration
- Mobile responsive design
- Social media sharing & wishlist features
- GitHub: Aniruddh-ui
- Email: aniruddhsb2005@gmail.com
Note: Screenshots and features shown are work-in-progress.


