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Showcase FlameGuardAI - https://flameguardai.dlyog.com/ #21
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Hey! Pretty good start, and sick project :)
There's a couple changes that would need to be made in order to merge into the cookbook... . would you mind checking the “Allow edits from maintainers” box on this PR? That way, I can help make the updates directly if you’re okay with it, or you can incorporate the changes yourself. Let me know what works best for you—thanks!
Sure Let me close and create a new |
Hi @vikvang, thanks again for the review! Just a quick note — my fork is under an organization account, and due to a known GitHub limitation, the "Allow edits from maintainers" option isn't available for org-owned forks. That’s why you’re unable to push changes directly to this PR. If you could leave the required changes as suggestions or comments, I’ll be happy to apply them and push the updates myself. Let me know what works best for you! Thanks again 🙏 |
Hi! Do you have your Github repository open-sourced and linked in your submission? I can't seem to find it! |
Yes please check this https://github.com/dlyog/fire-risk-assessor-drone-ai |
docs/showcase/flameguardai.mdx
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- [https://flameguardai.dlyog.com](https://flameguardai.dlyog.com) | ||
- [https://flameguardai-mcp.dlyog.com](https://flameguardai-mcp.dlyog.com) | ||
- [https://github.com/dlyog/fire-risk-assessor-drone-ai] (https://github.com/dlyog/fire-risk-assessor-drone-ai) |
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Space breaks the link
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This file is 550+ lines and tries to do both product storytelling and setup documentation. I'd strongly recommend cutting it down to just being a showcase for your project - what it is, what it does, how it works
Will update with requested change soon
Best Regards,
Tarun Chawdhury
Co-Founder and CTO
DLYog Lab Research Services LLC
https://www.dlyog.com/
Emil: ***@***.***
…On Fri, Aug 1, 2025, 3:56 PM Kesku ***@***.***> wrote:
***@***.**** requested changes on this pull request.
------------------------------
In docs/showcase/flameguardai.mdx
<#21 (comment)>:
> @@ -0,0 +1,553 @@
+## 🔥 Inspiration
Missing a frontmatter (no --- markers)
Please add one at the top
---
title: FlameGuardA
description: AI-powered wildfire prevention using OpenAI Vision + Perplexity Sonar API
sidebar_position: 2
---
See
https://github.com/ppl-ai/api-cookbook/blob/main/docs/showcase/briefo.mdx
for an example showcase page
------------------------------
In docs/showcase/flameguardai.mdx
<#21 (comment)>:
> +
+We wanted to create a tool that empowers **homeowners** to take fire risk prevention into their own hands — not just react after it’s too late.
+
+## 🧠 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
+
+[](https://www.youtube.com/watch?v=EI5yT7_aD6U)
+
+### Try it out
+
+- [https://flameguardai.dlyog.com](https://flameguardai.dlyog.com)
+- [https://flameguardai-mcp.dlyog.com](https://flameguardai-mcp.dlyog.com)
+- [https://github.com/dlyog/fire-risk-assessor-drone-ai] (https://github.com/dlyog/fire-risk-assessor-drone-ai)
Space breaks the link
------------------------------
On docs/showcase/flameguardai.mdx
<#21 (comment)>:
This file is 550+ lines and tries to do both product storytelling and
setup documentation. I'd strongly recommend cutting it down to just being a
showcase for your project - what it is, what it does, how it works
—
Reply to this email directly, view it on GitHub
<#21 (review)>,
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You are receiving this because you modified the open/close state.Message
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|
@vikvang - Let me know if you anything further? |
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@vikvang check now |
Description
I have designed, developed and deployed this app end to end On Behalf of DLYog Lab Research Services LLC
Type of Contribution
Checklist
Project Details
What problem does this solve?
🔥 Inspiration
The devastating LA wildfires were more than a tragic event — they were a turning point. While watching homes burn to the ground, I saw a story about one house that miraculously survived. That story stuck with me.
What protected that home? It wasn’t luck. It was planning — fire-resistant materials, defensible space, and design choices made long before disaster struck. This realization — combined with the rising difficulty of securing home insurance — inspired us to build FlameGuard AI™.
We wanted to create a tool that empowers homeowners to take fire risk prevention into their own hands — not just react after it’s too late.
What makes this contribution valuable to other developers?
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
Containerization: Dockerized for flexible local or cloud deployment
Cloud-ready: Built for Azure App Service with dedicated database support
🔍 Deep Research with Perplexity Sonar API
The real innovation is how we use the Perplexity Sonar API:
After analyzing the uploaded image, we identify specific vulnerabilities (e.g., flammable roof, dry brush nearby).
For each risk, we generate a custom research plan — covering severity, mitigation strategies, and localized insights.
We run iterative agentic-style calls to Perplexity Sonar — treating it like a research assistant gathering the best available information.
The research is aggregated, organized, and formatted into an actionable HTML report — complete with citations, links, and visual guidance.
This kind of structured, trustworthy, AI-powered research would not be possible without Perplexity.
External Links (if applicable):
Testing
###Try it out
Screenshots (if applicable)
https://flameguardai.dlyog.com/
Additional Notes
Our App also includes MCP Server for Claude. How to access it has been captured in Showcase Doc