VECAP  AnalYTiCs

Development of an advanced analytics system for VECAPP, a SaaS platform designed to enhance church operations through streamlined congregation management, workflow , community and virtual event management. My role involved designing and implementing a robust data architecture to collect, process, and visualize key performance metrics, enabling users to gain actionable insights.

AI RESEARCH ASSITANT

Credit-Loan Analysis

Interactive credit loan dashboard for RenMoney, designed to streamline the monitoring and analysis of loan portfolios. Utilizing Power BI, I developed a comprehensive solution that provides real-time insights into key performance metrics.

I spearheaded the development of a real-time election monitoring dashboard for JDPC during the last  Lagos State Governorship Election, designed to provide instant updates and insights during the election process. Utilizing advanced data streaming and visualization techniques, the dashboard enabled stakeholders to track election progress live.

Farm Production Dashboard

Development of a comprehensive Farm Production Dashboard for farmers in Edo State, Nigeria, aimed at enhancing agricultural productivity and decision-making through data-driven insights. The dashboard provided real-time visualization and analysis of farm production metrics across the state.

An intelligent research assistant powered by LangChain that combines multiple AI capabilities to provide comprehensive research and information gathering.

Features

• Web Search Integration: Uses DuckDuckGo for real-time internet searches

• Wikipedia Integration: Direct access to Wikipedia's knowledge base

• Interactive Interface: Simple command-line interface for research queries

• Error Handling: Robust error handling for reliable operation

Wheat Rust Classifier

An end  to end computer vision model was built from the data provided using cutting edge deep learning techniques to achieve this,

The development team used React.js to build a frontend for the web service then it was hosted with Google Firebase service. This completed our task of building a full end-to-end computer vision driven prediction service to detect wheat rust using images of wheat plants to determine healthy or rusty wheat.