Haithm Al-Akhali

What an agent can do with the virtual_mouse corpus

HAITHM-ALAKHALI/virtual_mouse: A hybrid vision-based virtual mouse architecture combining MediaPipe hand tracking, SVM gesture classification, and rule-based OS event…

• Look up how virtual_mouse implements computer-vision, gesture-recognition, hci, with answers cited to file and line.
• Reuse a worked example: the commit “The last V” (7 files · Python).
• Answer from virtual_mouse's real Python source instead of memory (AI, prompts and agents).

• Where does virtual_mouse handle “The last V”?
• How does virtual_mouse implement computer-vision?
• What does Agent_Execution do in virtual_mouse?

Search the GitHub repository HAITHM-ALAKHALI/virtual_mouse with XERJ (https://hub.xerj.org/corpus/haithm-alakhali--virtual-mouse).
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/HAITHM-ALAKHALI/virtual_mouse virtual_mouse && git -C virtual_mouse checkout 8abc10346bae0ff73d5ba69f6e76fcf63e796a0b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./virtual_mouse --url http://127.0.0.1:9200 --prefix virtual-mouse --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.

corpus haithm-alakhali--virtual-mouse · AI, prompts and agents
Related corpora: cognita, opennyai-legal-nlp, trained-by-humans/ml-pipes, kornia/kornia
AI search and retrieval with XERJ · Case study: reference coding for agents