Kawnix is a platform that democratizes geospatial technology. Our solution provides access to satellite images and automates coding processes, eliminating the tedious and repetitive tasks involved in geospatial projects. With Kawnix, users can easily leverage AI to streamline their workflows and focus on more meaningful aspects of their projects.

Design and implementation of models for image analysis, object detection, and image segmentation using convolutional and recurrent neural networks.Programming using tools and frameworks such as YOLO, Faster R-CNN, and Mask R-CNN for deep learning and pattern recognition. Experience in training and evaluating computer vision models.Skills in preprocessing, data augmentation, and post-processing of images to enhance input data quality.Strong experience using SNAP for optical and radar data analysis. Experience in optical and radar image processing for agricultural greenhouse classification and detection.