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Forest Fire Classifier
FF Classifier
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Forest Fire Classifier

Real-time wildfire detection powered by advanced machine learning. From research to production.

Model v2 • 98.5% accuracy
Active
99.9%
Uptime
< 500ms
Response
10k+
Requests

Project

  • AboutProject story & tech stack
  • ResearchTechnical details & methodology
  • API DocsDeveloper documentation

Resources

  • Live Wildfire MapReal-time wildfire tracking
  • DatasetForest Fire C4 on Kaggle
  • Research PaperAcademic publication

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- with Next.js, TensorFlow.js, and lots of ☕.

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Real-time Detection

Forest FireFireClassifier v2

Upload a forest image and get an instant verdict — fire, smoke, or clear. Powered by secure server-side AI; no sign-up, no wait.

About the Project
📊
Performance Stats
%
Accuracy
Validation set of 380 images
ms
Avg. Latency
Average API latency
Classes
Fire, Smoke, Fire+Smoke, No Fire
🧠
Built for Real-World Use

Lightweight, privacy-first, and open-source

From research prototype to production-ready system, this classifier delivers reliable wildfire detection with a personal touch.

Real-time Detection

Fast analysis via our optimized API — vital seconds saved in early response.

Lightweight Web Model

Teachable-Machine MobileNet distilled to <5 MB, so it loads even on 3G.

Privacy-First

Images are processed securely in memory and never stored.

Flexible Deployment

Robust server-side inference with built-in rate limiting for stability.

Confidence Scores

See class probabilities to gauge how certain the model is.

Open Source

MIT-licensed codebase — fork it, improve it, or deploy on your own edge devices.

Ready to Detect Wildfires?

Drop in an image now or dive into the code — this project is built with care for rapid fire prevention.

View API
Real-time Processing
High Accuracy
Open Source