Inspiration
We were inspired by the need to make online shopping faster and more efficient. Instead of multiple searches, the Inditex Clothe Detector allows users to take a screenshot of a garment and find similar items from Inditex brands (like Zara, Massimo Dutti, Pull&Bear).
What it does
The Inditex Clothe Detector allows users to take a screenshot of an item from any webpage. The image is sent to the API Inditex provides us, which finds similar products from Inditex's brands. The results are shown with product details like name, price, and a link to purchase.
How we built it
Using Javascript, HTML, React, Vite, Python with Flask and the API.
Challenges we ran into
Taking and sending the screenshots to the API correctly and showing the information.
Accomplishments that we're proud of
Successful API integration: We were able to integrate Inditex’s API to get accurate product recommendations.
User-friendly interface: We built an intuitive interface that displays similar items quickly and easily.
What we learned
Image recognition challenges: Matching fashion items is harder than expected and requires advanced machine learning.
User experience optimization: Ensuring fast response times while handling resource-intensive tasks is crucial.
API integration: Managing external API responses and error handling is key for a smooth experience.
What's next for Inditex clothe detector
Mobile version: Develop a mobile version for easier capture and search on the go.
Advanced filters: Allow users to filter results by color, fabric, or product type.
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