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Project Stories

A focused set of AI systems, machine learning workflows, and decision-support tools built around real-world problems, usable systems, and measurable outcomes.

RAG / Document Intelligence / Knowledge Verification2026-05-01

Sovereign Research Engine

A local-first RAG research engine for retrieving, synthesising, and auditing insights from unstructured documents.

PythonFastAPILangChainllama-cpp-pythonPostgreSQL

Problem

Sovereign Research Engine is a privacy-first document intelligence system designed for serious research workflows.

System

The system is built around a problem-first architecture: ingestion, retrieval, reasoning, auditability, and reusable knowledge are separated so the system can remain modular, explainable, and easier to improve over time.

Impact

The project demonstrates how AI systems can be designed for reliability rather than novelty alone.

Project Story Demo on Request GitHub

NLP / Sentiment Intelligence / Public Data Analytics2026-04-01

Naija Macro Sentiment Tracker

An Azure-hosted NLP platform that transforms Nigerian macroeconomic news and public discourse into structured sentiment signals.

PythonNLPAzure AI LanguagePostgreSQLFastAPI

Problem

Naija Macro Sentiment Tracker is an end-to-end sentiment intelligence platform built to monitor public economic narratives in Nigeria.

System

The project demonstrates how AI and data pipelines can turn noisy public information into decision-support signals around inflation, fuel prices, FX volatility, and broader macroeconomic concerns.

Impact

Identified 42% negative sentiment, 13% positive sentiment, and 35% neutral sentiment across sampled Nigerian audience data

Project Story Live Demo GitHub

Driver behaviour clustering project preview

Unsupervised ML / Insurance Risk / Decision Systems2026-03-15

Driver Behaviour Clustering for Insurance Risk

An unsupervised machine learning system that segments drivers into behavioural risk groups for insurance pricing analysis.

Pythonscikit-learnPandasStreamlitPlotly

Problem

This project models how an auto-insurance company could move beyond one-size-fits-all pricing by grouping 10,000 policyholders into behaviourally coherent risk segments.

System

The project is designed as a decision-support system, not just a clustering notebook.

Impact

Dataset size: 10,000 drivers

Project Story Live Demo GitHub

NLP / Call Analytics / Customer Intelligence2026-02-01

CallSense-AI

An NLP analytics platform that turns raw call transcripts into operational intelligence for customer experience and escalation analysis.

PythonNLPStreamlitMPNet embeddingsUMAP

Problem

The project is designed around a practical business problem: helping teams understand what is happening inside customer conversations, where friction is emerging, and which operational issues deserve priority.

System

An NLP analytics platform that turns raw call transcripts into operational intelligence for customer experience and escalation analysis.

Impact

Identified subscription cancellations as 38% of escalations while representing only 25% of total call volume

Project Story Live Demo GitHub

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