# RoboLN AI

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Sadia Akter Zannat](https://cerebralvalley.ai/u/sadia_zannat)
- **GitHub:** https://github.com/sadia-zannat/RoboLN-AI
- **Demo video:** https://youtu.be/z4g6jI3I-po
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3313

Robotics development is fragmented. A student or independent maker may have an idea for a robot, but translating it into compatible parts, a build plan, a 3D assembly and a documented prototype requires navigating disconnected tutorials, CAD tools, code and hardware specifications.

RoboLN (Robotics Logic Navigator) is an AI-assisted engineering workspace designed to close that gap. Instead of stopping at a chatbot answer, RoboLN connects the engineering workflow: define a robotics project, organize actual equipment, ask project-aware technical questions, explore an interactive 3D digital twin, follow guided assembly steps, and record evidence and progress.

The working software prototype combines Next.js, React, TypeScript, Three.js/React Three Fiber and a Python FastAPI backend. Its modules include component inventory, planning, interactive assembly with component transformations, a Live Build Copilot with checkpoints and reviewed proposals, camera/image evidence, project management, and device-oriented telemetry interfaces. Meta Model API integration provides a model-powered layer for robotics explanations and engineering guidance.

The demo follows an Agri Rover scenario: planning a Raspberry Pi-based agricultural rover with a camera, motors, a soil-moisture sensor and irrigation components. The scenario shows how real equipment references can become an organized, visual engineering process. It is a software engineering prototype, not a claim that an autonomous agricultural rover has already been physically validated.

RoboLN's innovation is the connection between AI reasoning, persistent project context, visual assembly and human-reviewed engineering decisions. It is built for students, makers and independent developers who need a more understandable path from idea to robotics prototype.

Demo: https://youtu.be/z4g6jI3I-po

Source: https://github.com/sadia-zannat/RoboLN-AI

## More from Meta Global AI Developer Hackathon

- [SimGate](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3310)
- [Gonaj](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3311)
- [Syed's Enterprises](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3312)
- [Or Bibi](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3314)
- [Bharat Bench-AI Judge](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3315)
- [edith](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3316)

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