Projects
Things I've built and open-sourced — mostly computer vision, machine learning, and embedded systems. All of it lives on GitHub.
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Deep learning application that detects plant diseases from leaf and fruit image uploads, using convolutional neural networks trained on agricultural datasets.
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Real-time traffic density analysis and adaptive signal control. Detects vehicle counts per lane from live video and adjusts signal timings dynamically.
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Embedded face recognition system designed for lightweight edge deployment — real-time identification running entirely on a Raspberry Pi.
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Real-time face detection pipeline that processes live video and annotates faces with bounding boxes using Haar cascade classifiers.
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Eigenface-based face recognition from a webcam using singular value decomposition and principal component analysis — a pure linear algebra approach, no ML frameworks.
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Precise servo motor control for embedded systems — GPIO programming and PWM signal generation on the Raspberry Pi.