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1. DL_delineation_web DL_delineation_web Public

   In this project, a web application is developed to predict crop types and segment land from satellite images

   Python

2. NSIR_DL NSIR_DL Public

   A project to develop deep learning segmentation and classification models with satellite images. For land segmentation and crop type prediction

   Python

3. fraud_detection fraud_detection Public

   Auto Fraud prediction model is developed using machine learning algorithms. The model is deployed as a web application with User Interfaces, allowing for better interaction .

   Python

4. Deep-learning-imagery-processing- Deep-learning-imagery-processing- Public

   This project involves bulk processing of raw satellite images for downward deep learning modeling. An algorithm is developed to swap cloudy pixels with in one satellite image with clear pixels from…

   Python

5. teambright-aimable teambright-aimable Public

   Forked from bright-aimable/teambright-aimable

   Crop type identification

   Jupyter Notebook

6. river_monitoring river_monitoring Public

   In this project, I used satellite images to monitor pollutions of all water bodies in Ghana. Using metrics such as Water Turbidity Index, Total Dissolved Solids and Total Suspended Solids, I detect…

   Jupyter Notebook 1