AI Labeling and Fine-Tuning for Produce Freshness Analysis
Fine-tuned a TensorFlow model on over 40,000 images to enable automated analysis of produce freshness for quality control. Curated, labeled, and validated agricultural produce images to generate reliable freshness metrics used in an AI-powered marketplace. Contributed expertise to optimizing freshness index scoring for real-time customer insight. • Managed large-scale produce image dataset labeling and validation. • Established automated acceptance/rejection pipeline based on quality thresholds. • Applied TensorFlow to implement and deploy real-time assessment models. • Ensured ground-truth relevance and clear annotation standards throughout the process.