Engineering

Emergency Response Mapping Project Description Create a system for real-time mapping during emergencies (e.g., natural disasters, accidents). Collect geospatial data from various sources (e.g., social media, sensors). Use GIS tools to visualize and analyze the data. Implement algorithms to identify affected areas, evacuation routes, and resource allocation.

Land Use Classification Project Description Obtain geospatial data from satellite images. The goal is to determine whether a given pixel in a satellite image corresponds to land or not using machine learning or deep learning algorithms. Perform exploratory data analysis to understand the data. Use clustering algorithms

DGeographic Change Detection Project Description Analyze changes in land cover over time. Classify pixels in different images into four classes: Vegetation, Bare Soil, Urban, and Water. Use the random forest algorithm for classification..

Urban Planning with Computer Vision Project Description Explore geospatial datasets for urban areas. Develop computer vision models to identify urban features (e.g., roads, buildings, parks) from satellite imagery. Use convolutional neural networks (CNNs) for feature extraction. Apply object detection techniques to locate specific urban elements..