{"</> INITIALIZING NEURAL INTERFACE..."}
ARTIFICIAL
INTELLIGENCE
ENGINEER
</> Architecting the future of artificial intelligence through neural networks and machine learning systems </>
</> Architecting the future of artificial intelligence through neural networks and machine learning systems </>
> My Noteworthy computer vision and data analysis projects
Developed a deep learning model based on the U-NET architecture to segment the carotid artery from ultrasound images essential for the diagnosis of cardiovascular diseases.
Developed a Brain Tumor classification system with Convolutional Neural Network and Grad-CAM Visualization using the dataset Brain Tumor MRI.
Developed a Brain Stroke Prediction system Using Python and Machine Learning algorithmes like Decision trees, XGBoost, Linear regression...
Developed a deep learning-based system to detect pneumonia from chest X-ray images. The project involved data preprocessing, augmentation, and training convolutional neural networks (CNNs) to classify images accurately.
During a Datathon organised by a science club (Micro Club), I supervised participants as they worked to identify breast cancer. This was part of Pinktober. We used both deep learning and machine learning algorithmes and classifiers.
Built a machine learning system to classify chronic kidney disease using structured medical data. The project involved data preprocessing, feature selection, and training various classifiers to accurately detect kidney disease.