Medivocate – Exploring African History and Culture with AI
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An AI-powered platform exploring African history, culture, and traditional medicine, fostering understanding and appreciation of the continent’s rich heritage. 
Portfolio
Fine-Tuning GLiNER for Location Mention Recognition (LMR)
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This project fine-tunes the GLiNER model to enhance the recognition and classification of location mentions in text data, aimed at improving disaster response and location-based tasks 
Specializing Large Language Models for Telecom Applications
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Enhancing the Accuracy of Falcon 7.5B and Phi-2 on Telecom Knowledge Using the TeleQnA Dataset 
Object Detection Using Transformers
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Developing a Machine Learning Algorithm for Accurate Counting of Roof Types in Rural Malawi Using Aerial Imagery 
Semi-Supervised Learning with few labels
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Semi Self-Supervised Learning: improving the performance of self-supervised learning models, especially in scenarios where only a small amount of labeled data is available 
Continual Self Supervised Learning through distillation and replay
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Self-supervised learning provides strong visual representations from unlabeled data offline, but struggles in continual learning, which this study addresses using distillation, proofreading, and a prediction layer to prevent forgetting. 
Financial Data Generation
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Oct 2021 - Dec 2021: Financial Data Generation 
Constraints optimisation of resources uses by tasks in workflows
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Feb 2021 - Sep 2021: Financial Data Generation 
NER for commands extraction
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Apr 2021 - Jun 2021: NER for commands extraction 
Users’ understanding queries
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Jul 2020 - Sep 2020: Users’ understanding queries 