influstyle

landing page
AI chat named "styli"
latest post
search items/influencers
join as an influencer
how it works both for influencers and shoppers
profile section
profile section with body measurements for recommendations
measurements guide
shop by categories

Inspiration

Online fashion is often modeled by 6-foot-tall individuals with perfect features—but the reality is, most people don’t look like that. Many users struggle to resonate with such idealized standards and are left wondering whether a particular look will suit them or not. This creates hesitation and confusion while shopping. I wanted to change that. My goal with Influstyle is to make fashion more relatable, inclusive, and personalized—so every individual can find styles that truly suit them. I want to help people shop confidently and, in the long run, help make India look good—one personalized outfit at a time.

What it does

Influstyle is a fashion shopping platform designed to help users: Discover influencers who look like them (feature in progress) Get personalized fashion suggestions based on their body type and skin tone (coming soon) Compare prices across platforms to find the best deal (scraper under development) Explore a customized fashion feed powered by AI (feed base is set up, model integration in progress) Currently, the frontend and backend infrastructure is fully ready for deployment, enabling user authentication, profile management, and product browsing.

How we built it

We used:

Bolt (a powerful React + Node.js boilerplate) to rapidly set up and structure the project
React for frontend interface
Express.js for backend APIs
PostgreSQL for robust data storage
Tools like Cloudinary for image handling Placeholder APIs and mock data for influencer and product suggestions (while the AI model and scraping tool are being developed

Challenges we ran into

Building a working full-stack prototype under tight time limits
Starting the AI model training process with limited datasets
Developing a stable scraping pipeline while handling product data variability
Creating a UI that feels personalized even before AI integration

Accomplishments that we're proud of

Successfully built and connected a functional frontend and backend
Used Bolt to save hours in setting up best practices for backend/frontend integration
Designed the structure for influencer matching and personalization engine
Created a clean, responsive user experience that’s ready for AI feature plug-ins

What we learned

1.How to efficiently structure a full-stack project using starter kits like Bolt

The importance of defining data models and API endpoints early in the process
How to prototype future AI-powered features even when the models aren’t fully trained
Better project scoping and progress planning during hackathons