Search by title, author, keyword, department, year, document type, and access level across participating institutions.
The project aims to develop automated algorithmic trading solutions for retail traders, addressing the 95% capital loss due to scams in 2020.
Researchers are developing an app to predict future business losses without data scientists or machine learning skills, using Python, libraries, HTML, and CSS.
This project aims to study digital wholesale and distribution in Rwanda's manufacturing sector, focusing on the development of a decentralized platform to improve efficiency and convenience for wholesalers.
Rwanda's stock market lacks an online platform for buying and selling shares. This paper proposes an online web application using Vue JS and MongoDB for real-time transactions.
The author created a design-focused ridesharing app for the ALU community in Kigali Innovation City, offering a structured, affordable, and communal transportation option for students and staff.
The project aims to evaluate social-behavioral patterns in Rwanda to predict HIV transmission and recommend preventative measures. It uses data from a Demographic and Health Surveys survey to build machine learning models.
Aztech is a user-friendly web application that utilizes data science and machine learning to transform small businesses' data into decision-makers, utilizing frameworks like flask and Sqlite.
Rwanda's SMEs face limited access to information and skills, often leading to failures. A digital solution utilizing data and analytics can help close this gap, offering services like sales recording and analytics.
Business management is crucial for company success, but competition and market changes complicate it. Companies with better financial standing hire data analysts, while others lack expertise.
A greenhouse protects plants from harsh weather, pests, and diseases, requiring temperature control. Internet of Things integration enhances efficiency and monitoring of greenhouse activities.
