An AI/ML enthusiast transforming ideas into intelligent solutions. Explore my projects, learn from my insights, or collaborate to create impactful technology.
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Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, it over 2000 years old. Richard McClintock.
This system enables efficient and contactless attendance tracking through real-time face detection. It includes student enrollment with face capture, automated attendance marking, and a dashboard for managing records, filtering data by date, and exporting reports.
Developed a Convolutional Neural Network (CNN) model to classify plant diseases in corn, potato, and tomato using deep learning. The model was trained with structured preprocessing, achieving high accuracy in detecting Common Rust, Early Blight, and Bacterial Spot.
Explore how deep learning with CNNs and VGG16 enables brain tumor detection from MRI scans. Learn about preprocessing, transfer learning, fine-tuning, and model evaluation using accuracy, precision, recall, and AUC-ROC, achieving 92% accuracy.
A DCGAN built with Keras and TensorFlow to generate 64×64 anime faces. It uses a generator to create images from noise and a discriminator to distinguish real from fake, trained adversarially with binary cross-entropy and Adam optimizer.
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Imagine a school where attendance is updated instantly, and teachers are alerted if...
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Generative Adversarial Networks (GANs) have revolutionized image synthesis. In this post, we walk...
Read MoreWith the advancement of technology, agriculture has seen significant improvements, especially with the...
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