# Smart Vehicle (Pametno Vozilo) — Autonomous Edge AI Platform

> An open-source educational and research platform for Edge AI computer vision and autonomous robotics powered by Raspberry Pi 5. Awarded 4th Place & Special Award at the 10th Galaksija Cup National STEM Championship.

## Key Resources

- **Official Website:** [https://yoloprojekat.com/](https://yoloprojekat.com/)
- **Author Website:** [https://danilostoletovic.com/](https://danilostoletovic.com/)
- **GitHub Organization:** [https://github.com/yoloprojekat](https://github.com/yoloprojekat)
- **Central Landing Page Repository:** [https://github.com/yoloprojekat/landing-page](https://github.com/yoloprojekat/landing-page)
- **AI Agent Manifest:** [https://yoloprojekat.com/agents.txt](https://yoloprojekat.com/agents.txt)
- **Author & Colophon:** [https://yoloprojekat.com/humans.txt](https://yoloprojekat.com/humans.txt)
- **Web App Manifest:** [https://yoloprojekat.com/site.webmanifest](https://yoloprojekat.com/site.webmanifest)
- **Security Policy (RFC 9116 / Cloudflare):** [https://yoloprojekat.com/.well-known/security.txt](https://yoloprojekat.com/.well-known/security.txt)


## Ecosystem Repositories

### Core & Infrastructure
- **RPi Server:** [https://github.com/yoloprojekat/rpi-server](https://github.com/yoloprojekat/rpi-server) — Containerized Python backend managing GPIO motor drivers, YOLO real-time object detection inference, and MJPEG video streaming.
- **Smart Network:** [https://github.com/yoloprojekat/smart-network](https://github.com/yoloprojekat/smart-network) — Self-healing network daemon providing automatic fallback Wi-Fi Hotspot configuration for continuous operational connectivity.
- **Model Pipeline:** [https://github.com/yoloprojekat/model-pipeline](https://github.com/yoloprojekat/model-pipeline) — Optimization, quantization (INT8/FP16), and export workflows converting YOLO models for hardware-accelerated edge inference on TFLite and ONNX.

### Client & Monitoring Platforms
- **Android Client:** [https://github.com/yoloprojekat/android-client](https://github.com/yoloprojekat/android-client) — Native Android teleoperation dashboard built with Jetpack Compose (Kotlin), featuring Google ML Kit OCR text detection and low-latency FPV video streaming.
- **Web Dashboard:** [https://github.com/yoloprojekat/web-dashboard](https://github.com/yoloprojekat/web-dashboard) — Modern web interface allowing vehicle telemetry inspection and analytics directly in the browser.

## Technical Specifications

- **Target Platforms:** Raspberry Pi 5 (Edge Hardware), Android 15+ (Client Teleoperation), Modern Web Browsers
- **Primary Languages:** Python 3.11, Kotlin, Bash, HTML5, Vanilla CSS, Vanilla JavaScript
- **Core Technologies:** Docker & Docker Compose, YOLO, Google ML Kit OCR, ONNX Runtime, TensorFlow Lite, OpenCV
- **Hardware Architecture:** Raspberry Pi 5 (8GB RAM), Mecanum omnidirectional 4WD drivetrain, L298N H-Bridge dual motor drivers, Raspberry Pi Camera Module v2 (8MP, MIPI CSI-2), XL4015 5A DC-DC Step-Down Buck Converter
- **License:** MIT License
- **Author:** Danilo Stoletović — [danilostoletovic.com](https://danilostoletovic.com/) (Mentor: Predrag Šubarević, Former Mentor: Dejan Batanjac, ETŠ „Nikola Tesla“ Niš • 2026)