Thrips detection (Cap2020)
Study conducted as part of AI4Industry 2026, focusing on the analysis of the impact of controlled noise on improving the detection of insects known as thrips.
Projects
Face Emotion Recognition
This academic work presents a series of experiments aimed at improving the performance of an artificial intelligence model dedicated to facial expression recognition. The primary objective is to optimize the detection of basic facial emotions from image data. The experiments are conducted using the Face Emotion Recognition (FER-2013) dataset.
Water detection leakage
The objective of this academic work is to develop an artificial intelligence model capable of detecting leaks within a water distribution operator’s network using historical data collected from water meters.
MLOps for deploying of a fraud detection model
This project was developed as part of the MLOps Zoomcamp certification and delivers a microservice for mobile money operators across Africa to identify and block fraudulent transactions in real time. certificate
Firewall CPU consumption prediction
This study presents a framework for monitoring and predicting CPU usage of a virtualized firewall deployed in a software-defined networking (SDN) environment within a Campus Area Network (CAN).