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real-time-inference

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Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

  • Updated May 1, 2025
  • Jupyter Notebook

Custom object detection project using TensorFlow Lite Model Maker with an EfficientDet-Lite2 backbone. Trained to detect rocks and bags, deployed to Android for real-time inference on a Pixel 7a. Focused on efficient edge-device performance and streamlined model integration.

  • Updated Dec 16, 2024
  • Jupyter Notebook

A machine learning system that optimizes financial transaction success rates through intelligent routing. Combines XGBoost, neural networks, and reinforcement learning to predict transaction outcomes and implement optimal routing strategies in real-time. Features API integration with payment systems, continuous model retraining, performance monitor

  • Updated Mar 23, 2025
  • Jupyter Notebook

The Multilingual AI Customer Support System leverages AWS SageMaker and LORA to build scalable AI-driven solutions that provide multilingual customer support. It integrates machine learning models for real-time responses, ensuring efficient and personalized customer service.

  • Updated Feb 12, 2025
  • Python

YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).

  • Updated Apr 28, 2025
  • Python

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