AI-fire-detection
Advanced Real-Time Fire & Smoke Detection System using YOLOv8 AI, Python (FastAPI), and Next.js. Features multi-camera support, instant…
What XERJ indexed
Selected work

“Add detection regions, image analysis and searchable event history”. 17 files, 2,868 lines in frontend, backend, the project root.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-17. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
artificial-intelligencecomputer-visionfastapifire-detectiongoruntu-islemenextjspythonreact
Example questions
- How does AI-fire-detection implement artificial-intelligence?
- Where does AI-fire-detection handle “Add detection regions, image analysis and searchable event history”?
- What does frontend do in AI-fire-detection?
The prompt
Paste it into your AI agent. It clones vahapogut/AI-fire-detection at the pinned commit and indexes it on your machine.
Search the GitHub repository vahapogut/AI-fire-detection with XERJ (https://hub.xerj.org/corpus/vahapogut--ai-fire-detection). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/vahapogut/AI-fire-detection AI-fire-detection && git -C AI-fire-detection checkout 8a0249bb96181920a2be9c34577874b4e7ce4b0e 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./AI-fire-detection --url http://127.0.0.1:9200 --prefix ai-fire-detection --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
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Selected work and consent: the XERJ registry.