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Designed an anomaly detection system for network traffic using Isolation Forest and One-Class SVM, flagging anomalous packets across 3 simulated network topologies with a 91% detection rate. Captured and parsed live network traffic using Scapy; extracted
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Developed an AI-based breast cancer classification system using the Breast Cancer Wisconsin (Diagnostic) dataset, achieving 98.25% test accuracy for benign and malignant classification. Built a custom deep learning neural network using TensorFlow and Kera
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Built a computer-vision web application for missing-person reporting and AI-assisted facial identification using Flask and MongoDB. Implemented YOLOv10-based face detection and FaceNet facial embeddings for image and real-time webcam processing. Developed