Bright Aboh's Projects
This project is an analysis of data from RAMP air quality sensors. The USA-EPA standard air quality index were used
Config files for my GitHub profile.
I am Bright Aboh, a Data Scientist
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 a different satellite image for a given location.
In this project, a web application is developed to predict crop types and segment land from satellite images
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 .
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
A project to develop deep learning segmentation and classification models with satellite images. For land segmentation and crop type prediction
Personal Website
GitHub project (Project 3) repository for PDSND
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Site for "Spatial Data Science for Sustainable Development" course at the Dept. Built Environment, Aalto University
Crop type identification