👋 Hi, I'm Odeh Samuel Eji, a full-stack developer from Abuja, Nigeria.
💻 I build web apps with React, Next.js and Node.js, and I'm finishing a final-year capstone on deep learning weed detection for maize farms.
🔧 Tech & Tools I Use
💻 JavaScript | Python | SQL ⚛️ React | Next.js | Tailwind CSS | Framer Motion ⚙️ Node.js | Express | Flask | REST APIs 🗄️ MongoDB | PostgreSQL 🤖 Deep learning with YOLO | ESP32-CAM 🧪 Git & GitHub for Version Control 🛠️ VSCode, Cursor, Vercel
🏗️ Active Projects
🌽 Weed Detection System for Maize Farms: a YOLO model behind a Flask API, with a React dashboard showing live ESP32-CAM feeds from each field zone. 🦷 ClinicQ: a dental clinic booking site for patients, staff and admins, built with Next.js and PostgreSQL. 📖 Open source: working on issue #1005 in Dfunder/stellarAid-contract, adding descriptive link text to the docs.
🚀 Projects & Portfolio Check out my GitHub. 🔗 Repos: odehsamuel 🌐 Portfolio: https://odehsamuel-portfolio.vercel.app/
📫 Let's Connect! I'm always open to collaborating, learning, or just talking about web development and machine learning.
📧 Email: workwithodeh@gmail.com 💼 LinkedIn: https://www.linkedin.com/in/odeh-samuel-787b59265