Work Related Projects#
Institution |
Members |
Project title |
Project Description |
|
---|---|---|---|---|
1 |
Ministry of Finance and Economic Planning |
Andrew Mushokambere |
Macro-economic dashboard |
Creating a macroeconomic dashboard for better communication of key indicators like GDP, CPI, exchange rates, fiscal data, and debt. |
2 |
Ministry of Trade and Industry |
Aimable Iradukunda |
A Data-Driven Approach to Industrial Price Monitoring in Rwanda |
The project aims to monitor and analyze production, wholesale, and retail prices of key industrial products to ensure transparency, protect consumers, and provide data-driven insights for better economic planning and decision-making by the Ministry |
3 |
Rwanda Basic Education Board |
Aimable Sibomana |
ICT Device Management Schools |
The project will develop a digital system for monitoring ICT devices in schools, enabling real-time reporting, resource allocation, and decision-making |
4 |
Rwanda Revenue Authority |
Alleluia Mirelle, |
Data Discovery Chatbot |
To create an NLP-powered chatbot that centralizes RRA’s data catalog, streamlines discovery, and guides users on access and usage |
5 |
Ministry of Defence |
Annonciata Ingabire |
Optimized Defense Resource Allocation |
A data-driven system to predict and prioritize defense resource allocation, reducing waste and improving operational effectiveness. |
6 |
Ministry of Youth and ICT |
Augustin Ndayambaje |
Predictive Modeling of Youth Unemployment in Rwanda |
A machine learning-based system to forecast youth unemployment, identify key drivers, and deliver data-driven policy recommendations through dashboards and APIs |
7 |
Ministry of Justice |
Charles Iyamuremye |
Predictive Crime Mapping Using Machine Learning to Identify High-Risk Crime Locations |
A GeoAI-enabled predictive crime mapping tool that forecasts hotspots, optimizes resource allocation, and provides interactive dashboards for law enforcement decision-making |
8 |
Ministry of Environment, |
Clementine Nyiraneza, |
Predicting urban Air Quality in Kigali City using machine learning |
An AI-powered air quality prediction system to enable data-driven environmental decisions and public health safeguards in Kigali |
9 |
National Institute of Statistics of Rwanda |
Denyse Uwimbabazi, |
Land cover classification using high resolution satelite images |
An AI-powered satellite image processing pipeline for automated land cover mapping, enabling frequent updates and improved spatial analytics. |
10 |
Gender Monitoring Office |
Diane Mukakalisa |
Interactive Gender Based Violence Monitoring Dashboard |
To develop an interactive GBV monitoring dashboard that integrates and analyzes multi-source data to track trends, enhance policy responses, and improve victim support through real-time insights. |
11 |
National Institute of Statistics of Rwanda (NISR) |
Didier Gaga |
Exploring the Geospatial Relationship Between Altitude and Child Stunting in Rwanda |
A geospatial study identifying altitude-related stunting patterns to guide precision nutrition policies in Rwanda. |
12 |
Ministry of ICT and Innovation |
Docile Umurengezi, |
Data Sharing & Privacy Bot |
To develop an AI-powered chatbot that clarifies Rwanda’s Data Sharing Policy and its connection to privacy laws, improving public understanding and implementation |
13 |
Ministry of Infrastructure (MININFRA) |
Sixbert Shema, |
Leveraging Data for Evidence-Based Infrastructure Needs Assessment & Planning |
To develop a data-driven system for automated infrastructure gap analysis and evidence-based planning, ensuring equitable resource allocation across Rwanda’s districts. |
14 |
National Institute of Statistics of Rwanda (NISR) |
Monique Usabyimana |
Prioritizing Environmental and Climate Change Statistics in National Strategic Frameworks |
To develop an integrated climate and environmental data platform that enhances real-time monitoring, forecasting, and policy integration for Rwanda’s green development goals. |
15 |
National Institute of Statistics of Rwanda (NISR) |
Fidele Ngirinshuti |
Job Transitions and Employment Stability in Rwanda:A Panel Data Analysis Using Labour Force Surveys |
To analyze job transition patterns and employment stability in Rwanda using panel data, providing evidence-based insights for targeted labor market policies and youth/women empowerment strategies |
16 |
Rwanda Energy Group (REG) |
Fidele Ntawumenyumunsi |
Forecasting electricity demand and optimizing distribution in national grid. |
To develop a predictive model for forecasting Rwanda’s electricity demand at feeder level, enabling optimized grid management and preventing power outages. |
17 |
Rwanda Biomedical Center |
Hassan Mugabo |
Natural Language Processing for Public Health Intelligence |
To develop Rwanda-specific NLP models that extract actionable public health intelligence from EMR text, enabling real-time disease surveillance and data-driven healthcare decisions |
18 |
Rwanda Agriculture Board |
Jacques Munyemana |
Predicting crop yield using ML models: case of maize in Rwanda |
To develop a machine learning model that predicts maize yields in Rwanda using weather and agricultural input data, helping farmers and policymakers optimize crop production. |
19 |
Rwanda Information Society Authority (RISA) |
Janvier Niyitegeka |
AI-Policy Chatbot |
To develop an AI-powered chatbot that simplifies access to ICT policies, enhances compliance, and supports Rwanda’s digital governance through user-friendly policy explanations. |
20 |
Ministry of Education |
Abdoul Karim Munezero |
Real-Time Education Data Monitoring and Quality Feedback System |
To develop a real-time education data monitoring system that improves data accuracy, detects anomalies, and provides instant feedback to enhance decision-making in Rwanda’s schools. |
21 |
National Institute of Statistics of Rwanda (NISR) |
Thomas Nsengiyumva |
Modernizing Rwanda’s Trade Statistics System:Enhancing Data Quality and Efficiency |
To modernize Rwanda’s trade statistics system by developing a Python-based automated pipeline that enhances data quality, efficiency, and reporting capabilities. |
22 |
WASAC Utility |
Elisa Iradukunda |
Analyzing the Impact of Customer Complaints Patterns on Operational Efficiency at WASAC |
The project aims to analyze customer complaint patterns at WASAC to identify operational inefficiencies and provide data-driven solutions for improving water service delivery and customer satisfaction |
23 |
Rwanda Convention Bureau (RCB) |
James Rushimisha |
Quantifying the Economic Impact of MICE Events Using Data Science |
The project aims to develop a data-driven framework to quantify the economic impact of MICE events in Rwanda, enabling evidence-based decision-making for RCB. |