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Automatic detection of bike-riders who are not wearing helmets. Faster-RCNN model is trained by supervised learning using TensorFlow API which detects the objects and draws the bounding box with prediction score.
Machine-learning capstone comparing models for facial deepfake detection. Built in Python and evaluated using cross-validation, AUC, F1-score, precision, and recall. Applied SHAP for model interpretability and deployed an interactive Streamlit demo. Full source code is available on GitHub.
An intelligent AI model routing system that automatically selects the best model (Claude 3.5 Sonnet, GPT-4o, Gemini 2.0 Flash) for your queries using advanced context analysis and structured routing logic.