Projects
Our Projects
At Data Sage Software and Analytics, we create innovative, data-driven solutions designed to make real-world impact. Our projects are built to enhance efficiency, empower users, and drive smarter decisions through technology. We are happy to show you a few out of the many projects we have worked on.
FinGuard LoanLens AI app
The LoanLens AI app was built to make loan approvals transparent and fair. It uses explainable artificial intelligence (XAI) to analyze applicant data, clearly showing why a loan was approved or declined. The system also provides personalized, unique actionable recommendations to help applicants improve their eligibility for future applications.
Easy Test app
EasyTestGH is a platform that helps nurses all over the world prepare for their UK NMC CBT. This web app provides a user-friendly interface, progress tracking, and realistic practice tests to ensure nurses study efficiently, confidently, and at their own pace while mastering all essential exam topics
AffinityTalk App
This app is an online forum tailored for meaningful relationship discussions. It offers a lightweight, fast, and user-friendly experience while maintaining essential community features that foster open conversations, advice sharing, and genuine human connection.
AutoRubric app
An innovative AI-powered grading system that automatically evaluates student submissions against any rubric. It supports Word, Excel, and CSV formats, delivering instant scores, transparent feedback, and with a downloadable performance reports. Designed for educators who value accuracy, efficiency, and time-saving automation in assessment
EcoTrack Waste management
The EcoTrack Waste Management Model is an AI-powered deep learning solution developed to detect, classify, and count solid household waste through image recognition. Designed especially for all environmental agencies and city planners, this model generates real-time analytics on waste distribution, collection efficiency, and recycling trends
GhanaSent model
GhanaSent is an AI-powered model that analyzes public sentiments and opinions on Ghana’s national elections using NLP and machine learning. It processes data from social media, news, and online platforms to uncover key voter attitudes and emerging political trends. The model supports data-driven decision-making for researchers and policymakers.