Epileptic Seizure Detection

• Tech Stack: Python, CNN, Deep Learning, HTML/CSS/JS
• Github URL: GitHub Link

• Architected an automated epileptic seizure recognition system using a 1D Convolutional Neural Network (CNN) to extract spatiotemporal features from high-dimensional biomedical signals.
• Attained superior detection accuracy as measured by 98.13% accuracy, 0.9962 ROC AUC, and 0.9511 F1-score through the implementation of deep learning layers for pattern classification.
• Streamlined model validation and clinical testing by building a responsive web interface using HTML, CSS, and JavaScript, enabling instantaneous diagnostic predictions from uploaded data.