My Recently Works

A collection of the various projects I've been privileged to work on to tackle challenges in various Industrial sectors.

The Education Dashboard stands as a pivotal resource, offering users a comprehensive platform to observe and analyze examination results from various Tanzanian schools through insightful graphs. Focused on integrating CSEE results spanning from 2017 to 2022, this dashboard provides a valuable tool for understanding educational performance across the nation.

Note: Access link coming soon.


Tanzania CSEE Education Dashboard

A speech recognition model in the swahili language using API to help farmers in Kenya and Tanzania (Arusha) ask questions orally related to livestock diseases via mobile app or web app.


Swahili Automatic Speech Recognition Solution

Swahili tweets from Twitter were collected, annotated, and validated into three categories Positive, Negative and neutral.


Development of Swahili Sentiment Analysis Dataset

The project delivered open, accessible, and high-quality text and speech datasets for low-resource East African languages from Uganda, Tanzania, and Kenya. The project focused on these languages: Luganda, Runyankore- Rukiga, Acholi, Swahili, and Lumasaaba. I led and supervise 3 communities in Tanzania to mainly focused on building Swahili datasets for both texts and speech.


Development of NLP Text and Speech Datasets for Low Resourced Languages in East Africa

Annotating and validating NER corpus for the Swahili language and other 19 African languages based on news data collected from news platforms.


Development of Named Entity Recognition and Parts of Speech Datasets for African Languages

Developed an ensemble of models that anticipate ten various forms of network intrusions, such as DoS, Shellcode, Backdoor, and others.


Network Intrusion Detection Solution

Built a machine learning model that can predict whether or not a person living in the Dar es Salaam region would contract cholera.


Cholera Prediction Solution

Develop and deploy a computer vision model for early detection of "Fusarium wilt race 1" and "Black Sigatoka" banana diseases in an android application.


Detection of Banana Diseases Using Mobile-Based Deep Learning Models