- 🎯 A Mechatronics Engineer with a passion for Data
- 🔧 Currently diving into technologies like Python, C/C++, Flask, PostgreSQL, OpenCV & more
- 🛠️ Looking to collaborate on embedded systems, computer vision, data-driven apps, and automation projects
- 🌱 Actively learning: face recognition systems, camera firmware, and full data workflows
| Project | Language/Tech | Description |
|---|---|---|
| GoBike-Visualization | HTML & JS | Interactive visualization of bike-sharing data |
| basic-face-recognition | Python, Flask, WebSocket, PostgreSQL, OpenCV | Real-time face-recognition + attendance logging system ([github.com][1], [github.com][2]) |
| main-cam-firmware | C++ | Embedded firmware for camera control |
| dog-project | Jupyter Notebook, HTML | Data wrangling & analysis project on dog dataset |
| public-journal | Markdown logs | Personal coding progress journal |
- Languages: Python, C/C++, SQL, HTML/CSS, JS
- Frameworks/Tools: Flask, OpenCV, face_recognition, WebSockets, PostgreSQL
- Data & Visualization: Pandas, Matplotlib, interactive dashboards, web charting
- Interests: Embedded firmware, genetic algorithms, attendance systems, camera control automation
- 🧠 Building and refining the basic-face-recognition system with real-time capabilities
- 🛠️ Working on main-cam-firmware for camera-based mechatronics applications
- 📘 Documenting learning progress in public‑journal
- 📊 Exploring genomics-inspired genetic algorithms to solve optimization problems
- 💼 Follow me on GitHub for project updates
- 🚀 Collaborate on open-source or capstone projects—always excited to learn and contribute
- 📫 Reach me via GitHub or email (ayomide25.01@gmail.com)
