I am a 2nd-year Master's student at the Faculty of Transport, National University of Science and Technology Politehnica Bucharest (UNSTPB). I am passionate about how technology can solve modern infrastructure challenges. Currently, I am bridging the gap between transportation and code.
I am currently developing TrafficSense, a Computer Vision application designed for intelligent traffic management.
- Goal: Real-time vehicle detection and counting to optimize urban mobility.
- Tech: Built with Python and Computer Vision libraries.
- Status: Active development / Research phase.
| Category | Tools & Languages |
|---|---|
| Languages | Python, Java, JavaScript/TypeScript |
| Frontend | React, Next.js |
| Backend/DevOps | Node.js, Docker |
| Data/AI | Computer Vision, OpenCV |
- 🧪 Enhancing TrafficSense detection accuracy.
- 🐳 Mastering Docker for seamless application deployment.
- 🏗️ Building full-stack web apps with Next.js and React.
- 💼 LinkedIn: linkedin.com/in/roberto-opiteanu
- 📧 Email: robica604@gmail.com
"Building the future of transport, one commit at a time."