AutoChef

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  Logo

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  AI Model Live Demo

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  ShapesXR_screenshot 1

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  ShapesXR_screenshot 2

Inspiration

Annually in the United States(reported by the EPA in 2019) we waste $1,500 annually. For beginning home owners this is a big issue since they are taking a big step into adulthood, but those raspberries are easy to forget in the back of the fridge.

What it does

AutoChef uses Ai to monitor goods in your fridge to determine and track shelf life, and notify you before your food is lost

How we built it

Yolov8 ML model for object detection with COCOv8 datasets of fresh and rotten produce. ShapesXR, for a demonstrative UX walkthrough of the process and simplicity of our product.

Challenges we ran into

Qualcomm's integration and usability was very poor since it was an individualistic ecosystem apart from anything else.

Accomplishments that we're proud of

-A full walkthrough in VR of the process of using our product -Developed ML to realistically test and conduct what we've devised

What we learned

How to adapt in short time frames while maximizing our XR and ML skills to create an efficient product

What's next for AutoChef

AR integration for using the food to make recipies before food waste occurs

Built With

• google-collab
• metaquest
• python
• qualcomm-ai-hub
• shapesxr
• unity