Most dashboards are rearview mirrors. They show you historical data perfectly, but they fail to warn you about the cliff ahead. Today, I added a "Time Machine" feature to my Serverless Financial Agent.
The Logic (Backend)
Predictive analytics doesn't always need Machine Learning. Sometimes, linear extrapolation is enough to provide value. In my lambda_function.py, I added a simple projection function:
Calculate daily_average_spend.
Multiply by days_in_current_month.
Return projected_total.
This simple calculation allows the user to see the consequence of their current behavior before it becomes a reality.
The Visuals (Frontend)
I updated the React UI to include a Forecast Card. I used a layered progress bar technique:
Solid Bar: Represents actual money spent (Certainty).
Striped/Ghost Bar: Represents the projected path (Possibility).
This visual gap creates a psychological anchor. If the ghost bar extends too far, it triggers an immediate desire to "curb the curve." It turns the dashboard from a passive reporter into an active warning system.
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