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Obananob/README.md

Hi, I'm Oni-Bashir Atiatunnasir (Atia)

Medical Student | AI, Machine Learning & Automation Engineer

"I bridge the gap between Medical Science and Applied AI, building intelligent systems that work."

I am a Medical Student and AI Engineer focused on applying technology to healthcare and agriculture. My expertise lies in two key areas: Machine Learning (training models to solve problems) and AI-Assisted Engineering (leveraging AI agents to rapidly build and deploy functional applications).


Tech Stack & Skills

Applied AI (The Brain) Automation (The Hands)
Python TensorFlow n8n Make.com
Keras Pandas Zapier Airtable
Focus: Computer Vision (CNNs), Data Analysis, Predictive Modeling Focus: AI Agents, Webhooks, API Integration, System Orchestration

🏆 Hero Projects (AI & ML)

AgroScan (Live App)

Stack: TensorFlow (CNN) • Google Gemini LLM • Make.com • Vercel

A production-ready plant disease diagnosis platform deployed to the web.

  • The System: Detects diseases using a custom CNN model trained on plant leaf datasets.
  • The Automation: An intelligent agent fetches personalized treatment advice via Google Gemini and delivers it instantly to the user through the web interface.
  • Live Link: agroscan-amber.vercel.app

Stack: Deep Learning • Computer Vision • Python

A specialized Deep Learning system utilizing Convolutional Neural Networks (CNN) to classify chest X-rays.

  • Function: Accurately distinguishes between COVID-19 infected lungs and healthy lungs.
  • Impact: Provides rapid diagnostic support for medical image analysis using binary classification.

⚡ Full-Stack Systems (SaaS & Products)

MedCorez (Hospital Management System)

Stack: React • Supabase • TypeScript • Tailwind

  • What it is: A comprehensive multi-tenant hospital system designed for healthcare operations.
  • Features: Patient Triage, Prescription Management, Staff Roles (Doctor/Nurse/Admin), and Inventory Tracking.
  • Engineering: Leveraged AI-Assisted Development to architect a secure, scalable medical platform tailored to real hospital workflows.
  • Live Link: medcorez.vercel.app

StockSight (Inventory AI)

Stack: React • TanStack Query • Supabase

  • What it is: Real-time inventory and sales tracking for retail businesses.
  • Features: Live Dashboards, Profit Tracking, Offline PWA Support, and Low-Stock Alerts.
  • Engineering: Built using AI-Assisted Rapid Engineering to deploy a mobile-first PWA with audit logging and offline capabilities.
  • Live Link: stocksight-mu.vercel.app

Stack: n8n • OpenAI API • Airtable • Webhooks

  • Enterprise-grade agents for Crypto Tracking, Invoice Processing, and Email Automation.

📫 Let’s Connect!


Fun fact: I love mixing code with creativity — and believe AI should solve real-life problems, not just pass benchmarks.

Pinned Loading

  1. Obananob Obananob Public

    Config files for my GitHub profile.

  2. AI-Automation-Projects AI-Automation-Projects Public

    This repository contains all of my automation projects, including no-code workflows and AI-driven automations

  3. agroscan1 agroscan1 Public

    TypeScript

  4. CovDetect CovDetect Public

    A deep learning model that analyzes chest X-ray images to distinguish between COVID-19 infected lungs and normal lungs. Built using Convolutional Neural Networks (CNN) for rapid, accurate respirato…

    Jupyter Notebook