FItSense

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  Testing it up

We've all struggled to put together outfits in the morning, so we decided to optimize that using AI classification and a weather API.

Users can capture photos of their wardrobes by individually snapping pieces of clothing, which will then be interpreted and classified by Google Gemini, whether it's a shirt, pant, jacket, or accessories.

Outfits can then be generated by inputting a location, and the type of occasion. This will take into account the current temperature, precipitation, and context. For example, a brisk morning walk in New York might call for a white undershirt, light gray hoodie, and some cozy jeans. FitSense will find the perfect outfit every time, anywhere.

Built With

• flask
• html5
• javascript
• mcp