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Why
Individual CV signals are noisy and incomplete on their own. Gaze alone cannot tell you if a student is drowsy.
Expression alone cannot tell you if they are looking at the screen. Drowsiness alone ...
agent
cv
m4
bipulshahi
Contexto: Método principal async def chunk_text() (linhas ~32-67) falta docstring em português explicando ADR-013
Phase 2.
Definition of Done exige docstrings em português em todas as classes e métodos ...
auditoria
enhancement
jeysson
@gRomanini We are from Monocle2AI and wonder if you guys are open to collaborate.
Monocle supports LLM as a Judge test generation that can be added as final stage prior to deployment. Thought? happy to ...
hocokahu
Why
The pre-trained FER model from issue #14 gives a starting point, but it was trained on posed expressions in lab
conditions - not on real students sitting in front of laptop webcams. The training notebook ...
cv
detection
m3
Hi @we7u,I’m Jacob, a SWE Cloud Architect
I am reaching out because I m looking to partner with an experienced professional to bring my idea to life, with the
potential to generate side income.
Do you ...
jcheng-23
Why
Facial expressions provide direct evidence of cognitive state. A confused expression means the student does not
understand the current material - information that no other signal (gaze, pose, drowsiness) ...
cv
detection
m3
The documenation link for SFCalculator points to https://hekstra-lab.github.io/SFcalculator_torch/, but it should point
to https://rs-station.github.io/SFcalculator_torch/
kmdalton
Contexto: Observabilidade é conforme, mas falta Correlation ID propagation. Logs estruturados não incluem
correlation_id_context.
ADR-010 especifica: Correlation ID DEVE estar em todos os logs de operações ...
auditoria
enhancement
Why
Yawning is a reliable fatigue indicator that complements EAR-based drowsiness detection. A student can be fatigued
without closing their eyes - they might be yawning, which EAR alone would miss. The ...
cv
detection
m3
Why
Drowsiness is one of the strongest signals of disengagement. A student whose eyes are closing is not just distracted -
they are on the verge of falling asleep. Detecting this early (within 2-3 seconds ...
cv
detection
m3
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