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| title: Blood Glucose Prediction | |
| emoji: 🩸 | |
| colorFrom: blue | |
| colorTo: red | |
| sdk: streamlit | |
| sdk_version: 1.30.0 | |
| app_file: glucose_app.py | |
| pinned: false | |
| # 🩸 Blood Glucose Level Prediction | |
| This project explores multiple approaches for predicting blood glucose levels using multimodal data from the Big Ideas dataset. It includes data from wearables (accelerometer), nutritional inputs, and demographic/medical history features. Our goal is to evaluate and compare naive, machine learning, and deep learning methods to provide personalized and accurate glucose level forecasts. | |