Emmanuel Ayinde (Gr8Soln)
Portfolio@2026
000
    / Selected Works

    Projects & Systems

    A curated selection of projects showcasing full-stack development, AI/ML integration, open-source contributions, and system architecture expertise.

    6

    Total

    5

    Featured

    2

    Live

    Showing6 projects
    /012025

    Study with PAO

    Study with PAO is an AI-Powered innovation that help students to study and engage with their materials and help them prepare for any form of examination.

    TypeScriptJavaScriptReact JSAPI
    Study with PAO
    /022026

    SPTransApp

    SPTransApp is a full-stack mobile and web application that enables users to extract, translate, and interact with text from images. The system integrates a production-ready backend with a user-friendly frontend, handling real-time processing and API-driven workflows at scale.

    React NativePythonFastAPITypeScript
    SPTransApp
    /032026

    Robust Payment Processing Server

    A backend-focused payment processing system designed to handle transaction workflows, validation, and error handling reliably. Built to demonstrate clean architecture, API design, and system robustness in payment-related domains.

    Node JSTypeScriptJavaScriptAPI
    Robust Payment Processing Server
    /042026

    OUI InfoMate

    OUI InfoMate is a AI-driven RAG system that presents structured and accessible information through a clean, intuitive user interface. The project emphasizes component architecture, responsiveness, and seamless data interaction.

    React JSPythonJavaScriptTypeScript
    OUI InfoMate
    /052026

    Stock Scrapper

    Stock Scrapper is a backend automation service that collects, processes, and structures financial data from external sources. It demonstrates data ingestion pipelines, scraping strategies, and backend automation techniques.

    GoAPI
    Stock Scrapper
    /062026

    RSS Aggregator

    An RSS Aggregator built in Go that fetches and consolidates RSS feeds from multiple sources. It highlights efficient data retrieval, parsing, and aggregation techniques using Go's concurrency features.

    GoGinAPI
    RSS Aggregator
    LAGOS, NG — WAT
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