• Tailored a product inventory detection program to provide real-time shelf restocking alerts by designing a U-Net model architecture using TensorFlow, collecting and annotating marketplace photos for training data, model training, implementing detection logic, and deploying the program on in-store Raspberry Pi 3.
• Constructed a footfall detection program with PyTorch to track the number of people passing by each shelf by selecting the You Only Look Once version 4 (YOLOv4) model architecture, creating footfall calculation algorithms, and deploying the program on in-store Raspberry Pi 3.
• Revamping an outdated merchant-supplier fruit and vegetable ordering and delivery system.