AI-Based Risk Detection & Classification Project (Final Year Project)
Developed and implemented a machine learning system to analyze and classify image-based records for risk detection. The project required cleaning, structuring, and preprocessing thousands of images to enable reliable model outcomes. Utilized visualization tools to interpret AI model results and ensure clear communication of insights. • Processed and labeled over 5,000 images as part of the data preparation workflow. • Employed structured workflows for data labeling, model testing, and evaluation. • Documented each stage to support reproducibility and transparency. • Applied Grad-CAM and Excel to visualize and annotate results.