Technologies: Python, OpenCV, Tkinter, LBPH Face Recognizer, Haar Cascade Classifier, Real-time Video Processing, Image Processing Optimization, GUI Development, Custom Dataset Training
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Designed and implemented a Smart CCTV Camera system leveraging Python and OpenCV to improve real-time surveillance accuracy and automation
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Developed a user-friendly GUI with Tkinter integrating motion detection via frame differencing and contour analysis, real-time video recording, and facial recognition using LBPH Face Recognizer and Haar Cascade classifiers trained on a custom dataset
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Engineered an advanced in/out counter feature that tracks and logs visitor flow across a virtual boundary with timestamped records, enhancing security analytics and operational insights
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Optimized image processing pipelines to achieve efficient real-time performance, enabling deployment on standard hardware with minimal latency
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Collaborated closely with a cross-functional team to iterate on system features, ensuring robustness and scalability in diverse environments
Technologies: HTML5, CSS3, CSS Flexbox, CSS Grid, CSS Animations, Responsive Web Design
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Designed and implemented a fully responsive Netflix clone landing page replicating key UI components such as the hero section with background video and dynamic movie rows, enhancing user engagement through interactive animations
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Utilized advanced CSS techniques including Flexbox, Grid layout, and keyframe animations to ensure pixel-perfect alignment and smooth transitions across desktop and mobile devices
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Conducted cross-browser testing and optimization to guarantee consistent visual performance and responsiveness, resulting in a seamless user experience on various screen sizes and devices