Implement User Feedback-Based Prediction Adjustment

[Aharshi3614]

Description

Train the system based on user actions (moving email from spam to inbox should mark as ham and trigger retraining).

Location

backend/routes/feedbackRoutes.js (add training endpoint), frontend/src/components/EmailScannerDashboard.jsx

Proposed Solution

implement a feedback-based scoring system that:

Tracks user feedback (spam/ham corrections)

Adjusts confidence scores based on feedback

Uses simple heuristics to improve predictions.

[github-actions]

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[github-actions]

The text suggests implementing an intelligent training feedback loop for an email scanning system, where user actions, such as moving an email from spam to the inbox, would mark the email as non-spam ("ham") and trigger retraining of the system. It mentions modifying a backend feedback route and a frontend dashboard component to achieve this functionality.