Project Inspiration

Our project was inspired by the innovative work showcased at an Intel workshop, which harnessed the power of image recognition for wildfire prediction and even the identification of ancient fossils. This ingenuity sparked our desire to create a groundbreaking skin model. Our goal was to develop a AI solution that could analyze user-submitted skin photos, providing not just a diagnosis but also essential information on disease risks and potential treatments.

Overcoming Challenges

Our journey was marked by challenges, with the primary hurdle being the fine-tuning of the AI model. We encountered difficulties stemming from dependencies, requiring relentless problem-solving. Additionally, we faced intermittent connectivity issues with Intel's cloud service and Jupyter Notebook, which occasionally disrupted our training process. Despite these obstacles, we remained resolute in our mission to deliver a valuable tool for the early detection of skin diseases.

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