Solar Defect Triage Assistant | AI & Machine Learning for Solar Panel

Developed an AI-powered Solar Defect Triage Assistant using Machine Learning and Computer Vision to classify solar panel images and identify potential defects.

The application detects conditions such as dust, snow coverage, bird droppings, electrical damage, and physical damage.

**Key Features:**

* Automated image classification.

* Prediction confidence scores.

* Class probability visualization.

* Human-in-the-loop inspection recommendations.

* Interactive web application.

The goal is to support smarter solar panel maintenance and improve inspection efficiency through AI.