Our Projects
Driving sustainable innovation through research and collaboration
Sustainable Services
Projects focused on developing and implementing sustainable service models, promoting eco-friendly practices, and creating lasting positive impact.
View Service ProjectsSustainable Networks
Collaborative initiatives that build and strengthen networks of organizations, researchers, and communities working towards sustainable development goals.
View Network ProjectsCurrent Initiatives
Active projects making an impact today
Hybrid Profile based Multi-document Text Summarisation
Avr 2026The internet has become a crucial component of the daily routines, offering numerous resources and documents for a variety of …
View Project →Web Simulator for Node Placement Optimization in Wireless Mesh Networks
Avr 2026Wireless Mesh Networks (WMNs) offer a promising solution for bridging the digital divide. By utilizing multi-hop communication, these networks can …
View Project →FedFarm
Avr 2026FedFarm is a mobile-oriented Federated Learning (FL) system designed to classify cassava leaf diseases directly on Android devices. It represents …
View Project →From Textual Web Forms to Audio Web Forms: Toward a Microservices Architecture Leveraging Natural Language Processing Techniques
Avr 2026Ensuring the accessibility of web forms is crucial in today's interconnected society, particularly for individuals who are illiterate, have physical …
View Project →AgriVox: Voice-Oriented Agricultural Information for Farmers in Northern Cameroon
Avr 2026The AGRIVOX project is part of a technological and social innovation approach aimed at improving access to agricultural information for …
View Project →Sustainable Services Projects
Hybrid Profile based Multi-document Text Summarisation
The internet has become a crucial component of the daily routines, offering numerous resources and documents for a variety of tasks and information retrieval. However, …
FedFarm
FedFarm is a mobile-oriented Federated Learning (FL) system designed to classify cassava leaf diseases directly on Android devices. It represents a comprehensive FL solution tailored …
From Textual Web Forms to Audio Web Forms: Toward a Microservices Architecture Leveraging Natural Language Processing Techniques
Ensuring the accessibility of web forms is crucial in today's interconnected society, particularly for individuals who are illiterate, have physical disabilities, or face language barriers. …
AgriVox: Voice-Oriented Agricultural Information for Farmers in Northern Cameroon
The AGRIVOX project is part of a technological and social innovation approach aimed at improving access to agricultural information for smallholders in northern Cameroon. In …
CPP-ILP: Coverage Path Planning for Aerial Rice Seeding by Drone using Concave Polygon Decomposition and Integer Linear Programming
The project focused on developing a method to optimize drone utilization for aerial rice seeding, particularly on complex and concave terrains. The core of this …
Machine Learning Training Data: Over 11,000 Images of Cameroonian Bean Varieties for Cooking Time Prediction.
Accurate classification of bean varieties is essential for optimizing food processing workflows, particularly for predicting cooking times. This paper presents a dataset designed to classify …
TinyML-Based Bean Cooking Time Prediction Using Cooking Data and Bean Images
The cooking time variability of legumes, specifically the common bean (*Phaseolus vulgaris L.*), poses a major challenge for the food industry and food security in …
Enhancing Agricultural Financing: A Data-Driven Approach for Credit Risk Prediction among Farmers in Sub-Saharan Africa
During his Master’s studies, Nathan Tatchou spearheaded a pioneering research initiative aimed at redefining credit risk assessment for smallholder farmers in emerging economies. To address …
Natural Language Processing for the Bandjoun Language
This project falls within the field of Natural Language Processing (NLP) applied to low-resource languages, with a specific focus on the Bandjoun dialect, a variant …
Text Classification from OCR-Extracted Data
The development of Optical Character Recognition (OCR) techniques has enabled the automatic extraction of text from scanned documents, particularly in fields such as the digitization …
Efficient Keyword Spotting for Agricultural Applications in Low-Resource Languages
The objective of this project is to develop an efficient and robust keyword spotting system tailored for agricultural applications in low-resource languages. It aims to …
Sustainable Networks Projects
Web Simulator for Node Placement Optimization in Wireless Mesh Networks
Wireless Mesh Networks (WMNs) offer a promising solution for bridging the digital divide. By utilizing multi-hop communication, these networks can extend the coverage of conventional …
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