I built a simple processor and produced an animation that shows past data, the present moment, and probabilistic future predictions. What I created A modular "processor" (Python code) that: Ingests synthetic routine data (activity, heart rate, motion). Uses a lightweight ensemble predictor (rolling linear trend + noise) to forecast short-term future and confidence bands. Animates the past → present → predicted future as a GIF. The animation file was created and saved: Download the GIF How to use / modify Open the notebook code above to change: history_window (how much past is shown) pred_horizon (how far into the future to predict) Ensemble size and predictor method (replace linear model with AR, ARIMA, or neural nets) Replace synthetic data with your sensor logs (match columns: time , activity , heart_rate , motion ) If you want, I can now: Replace the simple predictor with a neural network (LSTM / Transformer) for stronger predictions (and produce a...
Comments
Post a Comment