Merge pull request #21 from dlyog/main

Showcase FlameGuardAI - https://flameguardai.dlyog.com/

Author: vikvang

docs/showcase/flameguardai.mdx

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+---
+title: "FlameGuardAI"
+description: "AI-powered wildfire prevention using OpenAI Vision + Perplexity Sonar API"
+sidebar_position: 2
+keywords: [FlameGuardAI, MCP, External Fire ,AI Home Safety, Home Inspection]
+---
+
+## 🧠 What it does
+
+**FlameGuard AI™** helps homeowners, buyers, and property professionals detect and act on **external fire vulnerabilities** like wildfires or neighboring structure fires. It's more than a scan — it's a personalized research assistant for your home.
+
+### Demo
+
+[![Watch Live video](https://img.youtube.com/vi/EI5yT7_aD6U/0.jpg)](https://www.youtube.com/watch?v=EI5yT7_aD6U)
+
+### Try it out
+
+- [FlameGuard AI](https://flameguardai.dlyog.com)  
+- [FlameGuard AI MCP](https://flameguardai-mcp.dlyog.com)  
+- [GitHub Repo](https://github.com/dlyog/fire-risk-assessor-drone-ai)  
+
+### Key Features:
+- 📸 Upload a home photo
+- 👁️ Analyze visible fire risks via **OpenAI Vision API**
+- 📚 Trigger deep research using the **Perplexity Sonar API**
+- 📄 Get a detailed, AI-generated report with:
+  - Risk summary
+  - Prevention strategies
+  - Regional best practices
+- 🛠️ Optional contractor referrals for mitigation
+- 💬 Claude (MCP) chatbot integration for conversational analysis
+- 🧾 GDPR-compliant data controls
+
+Whether you're protecting your home, buying a new one, or just want peace of mind — **FlameGuard AI™ turns a photo into a plan**.
+
+## ⚙️ How it works
+
+### The FlameGuard AI™ Process
+
+1. **📸 Upload**: User uploads a photo of their property
+2. **👁️ AI Vision Analysis**: OpenAI Vision API identifies specific vulnerabilities (e.g., flammable roof, dry brush nearby)
+3. **🔍 Deep Research**: For each risk, we generate a **custom research plan** and run **iterative agentic-style calls** to Perplexity Sonar
+4. **📄 Report Generation**: Research is **aggregated, organized, and formatted** into an actionable HTML report — complete with citations, links, and visual guidance
+5. **📧 Delivery**: Detailed report sent via email with DIY solutions and professional recommendations
+
+### 🔍 Deep Research with Perplexity Sonar API
+
+The real innovation is how we use the **Perplexity Sonar API**:
+
+- We treat it like a research assistant gathering the best available information
+- Each vulnerability triggers multiple queries covering severity, mitigation strategies, and localized insights
+- Results include regional fire codes, weather patterns, and local contractor availability
+
+This kind of **structured, trustworthy, AI-powered research would not be possible without Perplexity**.
+
+### Technical Stack
+
+FlameGuard AI™ is powered by a modern GenAI stack and built to scale:
+
+- **Frontend**: Lightweight HTML dashboard with user account control, photo upload, and report access
+- **Backend**: Python (Flask) with RESTful APIs
+- **Database**: PostgreSQL (local) with **Azure SQL-ready** schema
+- **AI Integration**: OpenAI Vision API + Perplexity Sonar API
+- **Cloud-ready**: Built for **Azure App Service** with Dockerized deployment
+
+## 🏆 Accomplishments that we're proud of
+
+- Successfully used **OpenAI Vision + Perplexity Sonar API** together in a meaningful, real-world workflow
+- Built a functioning **MCP server** that integrates seamlessly with Claude for desktop users
+- Created a product that is **genuinely useful for homeowners today** — not just a demo
+- Kept the experience simple, affordable, and scalable from the ground up
+- Made structured deep research feel accessible and trustworthy
+
+## 📚 What we learned
+
+- The **Perplexity Sonar API** is incredibly powerful when used agentically — not just for answers, but for reasoning.
+- Combining **multimodal AI (image + research)** opens up powerful decision-support tools.
+- Users want **actionable insights**, not just data — pairing research with guidance makes all the difference.
+- Trust and clarity are key: our design had to communicate complex information simply and helpfully.
+
+## 🚀 What's next for FlameGuard AI™ - Prevention is Better Than Cure
+
+We're just getting started.
+
+### Next Steps:
+- 🌐 Deploy to **Azure App Services** with production-ready database
+- 📱 Launch mobile version with location-based scanning
+- 🏡 Partner with **home inspection services** and **homeowners associations**
+- 💬 Enhance Claude/MCP integration with voice-activated AI reporting
+- 💸 Introduce B2B plans for real estate firms and home safety consultants
+- 🛡️ Expand database of **local contractor networks** and regional fire codes
+
+We're proud to stand with homeowners — not just to raise awareness, but to enable action.
+
+**FlameGuard AI™ – Because some homes survive when others don't.**
+
+---
+
+**Contact us to know more: [email protected]**