Steeze

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  Example of where the ai measures the chest to identify shirt size.

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  A simple flow chart of the process of the ai in identifying shirt size.

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  A flow chart of the recommendation algorithm's expected results.

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  Example of attributes of a item of clothing

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  Our formal representation of the recommendation algorithm

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  Pg 1: Initial Survey

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  Pg 2: Body Measurements

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  Pg 3: Items Selection

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  Pg 4: Final Items

Inspiration

The idea for Steeze was born out of the frustration of online shopping—uncertain sizing, overwhelming choices, and the struggle to find pieces that truly match personal style. We wanted to create a seamless shopping experience that feels as natural as having a personal stylist.

What it does

Steeze is an AI-powered fashion platform that detects users' clothing sizes and continuously personalizes recommendations based on their style preferences. Using advanced algorithms, it curates the perfect outfits, making online shopping effortless and enjoyable.

How we built it

Steeze was developed using a combination of AI-driven recommendation models, machine learning for size detection, and a sleek, user-friendly frontend. The backend integrates data from various fashion retailers, ensuring users have access to a diverse collection of clothing that fits their unique style.

Challenges we ran into

• Fine-tuning the recommendation algorithm to provide highly accurate suggestions.
• Handling size inconsistencies across different brands and standardizing measurements.
• Ensuring a smooth and intuitive user experience while maintaining performance.

Accomplishments that we're proud of

• Successfully implementing an AI model that adapts to users' fashion preferences.
• Creating a seamless shopping experience that reduces sizing guesswork.
• Building a scalable platform that can integrate with various fashion retailers.

What we learned

• The complexities of machine learning models in fashion recommendation.
• The importance of user experience in online shopping platforms.
• How to balance AI automation with human-like personalization.

What's next for Steeze

• Expanding our retailer partnerships to offer more diverse styles.
• Enhancing AI capabilities to predict fashion trends and suggest outfits.
• Introducing virtual try-on features for an even more immersive shopping experience.

Built With

• firebase
• flask
• javascript
• next.js
• python
• tailwindcss
• vercel
• zappos