Inspiration

We wanted to help predict the risk of E. coli infection and cancer, enabling proactive health management using AI.

What it does

Supernova AI assesses the likelihood of developing an E. coli infection and detects potential cancer risks, helping individuals and healthcare providers take early action.

How we built it

We developed a machine learning model trained on health data to predict infection risks and identify cancer indicators using patterns in the data.

Challenges

  1. Collecting sufficient and diverse datasets for accurate predictions.
  2. Fine-tuning the model to ensure reliable results. Accomplishments
  3. Built a predictive tool that helps assess the likelihood of E. coli and cancer.
  4. Achieved promising accuracy in risk detection.

What we learned

  1. The importance of diverse and high-quality datasets for prediction.
  2. The challenges of translating AI models into real-world healthcare solutions.

What’s next

We plan to improve model accuracy, expand to other health risks, and integrate it into healthcare systems for real-time risk assessment.

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