Enhancing the Quality of Available Maps in Palestine using Deep Learning Model

• Tech Stack: QGIS, Jupyter Notebook, Colab.
• Project Duration: 6 Weeks
• Github URL: Project Link

Maps play a vital role in daily life, aiding navigation, business promotion, healthcare recommendations, community connectivity, and infrastructure maintenance. Regrettably, Palestine faces a dearth of accurate map applications, with Google Maps inaccuracies stemming from subpar satellite images. Leveraging artificial intelligence (AI) presents an opportunity to enhance maps, benefiting businesses, governments, and individuals by delivering precise, current, and valuable information.

This project aimed at developing a Deep Learning model that can be used to enhance the quality of existing maps like Google Maps by utilizing GANs on low-quality satellite images and to depict accurate roads while removing nonexistent ones from the map.

Members: Joseph Moturi, .

More information available on GitHub.