8000 GitHub - junyuan-fang/Hackathon_H-AI_2025: H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs.
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H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs.

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junyuan-fang/Hackathon_H-AI_2025

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Hackathon_H-AI_2025

H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs. See our solutions in video:

Aalto.AI.Hackathon.H-AI.Project.Demo.1.mp4

See our solution in slides:

Hackathon_H-AI_2025.pdf

Our Video-XL solution

For this solution, please copy the demo.py and download_ckp.py files to the ./Video-XL/Video-XL/ directory using:

cp demo.py ./Video-XL/Video-XL/
cp download_ckp.py ./Video-XL/Video-XL/

Then, follow the instructions in ./Video-XL/Video-XL/ provided to set up the environment. Navigate to that directory and run the following Python scripts:

cd ./Video-XL/Video-XL/
python download_ckp.py
python demo.py

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H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs.

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