Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for ShopSmart AI

Inspiration

Online shopping can be confusing when users have many products to choose from and a limited budget. I wanted to create a simple tool that helps people discover suitable products.

What it does

ShopSmart AI is a shopping assistant prototype with product search, category filters, budget filtering, keyword-based recommendations, and basic product comparison.

How I built it

I used Python and Flask for the backend and HTML, CSS, and JavaScript for the user interface. A sample product catalog powers the search and recommendation features.

Challenges

One challenge was making product discovery simple and responsive. This prototype helped me practice connecting a frontend to backend routes and building an interactive interface.

What's next

I plan to explore real product data, improve recommendations, and integrate an AI model where permitted by the hackathon rules.

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