Projects
The portfolio behind our research momentum
Showcasing our commitment to Intelligence Research for Impact. Each project bridges academic research and field deployment to create measurable change.
Climate-Window Security via Seed Viability Scanning
The Problem: Up to 30% of local seeds are unviable due to micro-cracks or pests, wasting crucial planting windows.
The Solution: A mobile Computer Vision app where farmers scan seeds to receive an instant Germination Probability Score, securing harvests before the first seed hits the soil.
HarvestGuard: Predictive Shelf-Life Analytics
The Problem: Perishables like cassava and tomatoes suffer up to 40% transit loss from "hidden" internal rot.
The Solution: A surface-analysis model that detects early vascular streaking and micro-bruising to calculate remaining shelf-life in days, optimizing the supply chain.
PurityScale: Dry Food Supply Chain Standardization
The Problem: Manual grain pricing often misses hidden weevil damage and stones, causing massive losses for bulk buyers.
The Solution: A high-density object detection tool that provides an objective Purity & Quality Grade for local Nigerian grain samples.
PathFinder: Real-time Cyber-Physical Infrastructure Diagnostics
The Problem: Transforming standard dashboards into intelligent "Senses."
The Solution: A YOLO-based edge-computing model trained on underserved Nigerian road datasets. It instantly identifies and classifies potholes, severe cracks, and surface damage to provide real-time safety hazards and transit delay mapping.
Daintymindz Mobile Vision Core
The Problem: Complex Computer Vision models cannot run on low-end devices in remote regions.
The Solution: A specialized software framework that allows complex CV models (like our Seed Viability and Shelf-Life scanners) to run locally on a smartphone, with high-performance cloud backends and Edge-Computing interfaces.
Daintymindz Decision Engine
The Problem: Raw qualitative field data is not actionable for supply chain decisions.
The Solution: Our analysts use PowerBI and Tableau to translate raw field data into high-fidelity "Actionable Foresight" dashboards, integrating ML-driven seed viability scores and produce shelf-life predictions.