# RealityLab 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:** [sameer Ahmad Najar](https://cerebralvalley.ai/u/sameer88)
- **GitHub:** https://github.com/sameerahmad86232/Realitylab.git
- **Demo video:** https://drive.google.com/file/d/1jgVVoAhj1mMxrH_i_uhe8pl4if4mOCLC/view?usp=drivesdk
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/743

RealityLab AI — See the Problem. Understand the Evidence. Take the Next Safe Step.

RealityLab AI is an AI-powered visual troubleshooting platform that helps people understand physical objects, investigate potential problems, and take safer, informed steps toward fixing them.

Millions of people encounter broken appliances, damaged household items, and unfamiliar mechanical problems without knowing where to begin. Traditional repair guides often require users to identify the problem themselves, while generic AI assistants may provide instructions without clearly distinguishing visible evidence from assumptions.

RealityLab bridges that gap by transforming a simple photograph into an interactive, evidence-based investigation.

Users upload photos of an object and describe the issue. Powered by Meta's Muse Spark vision and reasoning model, RealityLab identifies visible components, explains their functions, highlights possible faults, and distinguishes observations from uncertain hypotheses.

The platform then uses an independent safety-checking system to determine the appropriate next action. For suitable low-risk situations, it provides step-by-step inspection guidance, required tools, observable checkpoints, and clear stop conditions. When the evidence is insufficient or the situation could be dangerous, RealityLab recommends collecting more information or seeking professional assistance.

Key Innovations

- Visual AI Analysis: Understand physical objects and possible issues directly from photographs.
- Evidence-Linked Investigation: Explore identified components through interactive visualizations, relationship maps, and conceptual blueprints.
- Safety-First Guidance: Receive cautious, actionable steps with independent safety checks.
- Interactive Repair Experience: Navigate instructions, review checkpoints, and provide feedback for reassessment.
- AI-Generated Visual Guides: Request optional conceptual illustrations to better understand components and procedures.
- Transparent AI Reasoning: Clearly distinguish what is visible, what is inferred, and what remains uncertain.

Technology

RealityLab is built with Next.js, React, TypeScript, Three.js, Vercel, and Upstash Redis. Its core visual analysis is powered by Meta Muse Spark through Baseten, with structured output validation, streaming progress updates, and controlled AI usage.

Vision and Impact

Our vision is to make practical technical understanding more accessible—especially for students, everyday users, and communities where expert assistance may be difficult to access.

RealityLab does not claim to replace professional technicians or guarantee a physical repair. Instead, it makes AI-powered troubleshooting more transparent, interactive, and safety-conscious.

RealityLab transforms AI from a tool that simply describes objects into an intelligent visual companion that helps people understand problems and explore responsible next steps.

## More from Meta Global AI Developer Hackathon

- [House of ENS](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/740)
- [Vault of Time](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/741)
- [Paper Trail Agent](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/742)
- [AGRIX](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/744)
- [WowDesignAI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/745)
- [Artifisial ID Warrior](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/746)

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