AI-Assisted Board Troubleshooting Coordinator

Turns blind trial-and-error board debugging into a ranked, explainable diagnosis.

BPESE (Powered by Adept AI) Hardware diagnostics engineers, RCA specialists & test line technicians
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Problem Statement

Debugging a faulty board traditionally means hours of tracing schematics and blind trial-and-error component swapping — inefficient, imprecise, and slow to reach root cause.

Problem Statement

Objective & Core Value Proposition

The platform instantly identifies which components on a failing test line are most likely to have failed, replacing guesswork with data-driven, mathematically transparent decisions that speed up root-cause analysis and cut scrap.

Objective and Core Value Proposition

How It Works

Step 1

Score every component

An Explainable AI (XAI) model scores each component using its type, historical failure rate, pin connections and network complexity.

Step 2

Show a transparent probability

That score becomes a transparent failure probability via a logistic regression formula (P = 1 / (1 + e^-Z)) — no black box.

Key Functions & Use Cases

UI/UX & Dashboard Highlights

Clean Navigation & Dual Modes

Switch between Single Query, Batch Query, Export Logs and Retraining.

Crisp Data Visualization

Features Top 5 Component cards, clean data tables, and color-coded risk indicators (e.g., Red for 99.9% high probability).

Detailed Modal Popups

Popups display detailed mathematical formulas, feature weights, and Z-scores to ensure full AI interpretability.

Action-Oriented Interface

Clear action buttons (e.g., Track Connection, Submit Feedback) and intuitive drag-and-drop file dropzones.