ESP32-S3 Bench Guide
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AI 분야 140개 이상 주제 퀴즈로 이론 지식을 평가하고 부족한 부분을 확인합니다
The field of AI has become vast with some important fields that are easy to overlook. This project has a quiz on 140+ topics that evaluate your theoretical expertise. It helps you see the gaps and w
교육HTML · PythonGitHub @amityaadav온라인운영자 미확인
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아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
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프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기The field of AI has become vast with some important fields that are easy to overlook. This project has a quiz on 140+ topics that evaluate your theoretical expertise. It helps you see the gaps and work towards filling those gaps if you wanted to by suggesting literature from the field on a very specific topic.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
An interactive knowledge survey mapping 148 AI/ML topics across 12 domains,
scored on a 4-level scale (untouched → heard of → can explain → built/taught)
with evidence behind every cell and free learning resources for every topic.
Two parts: a static dashboard (index.html) that loads scores from a
canonical JSON profile, and an interactive quiz (quiz.html) backed by a
FastAPI + LLM evaluation engine.README 전문 보기 ↗An interactive knowledge survey mapping 153 AI/ML topics across 12 domains, scored on a 4-level scale (untouched → heard of → can explain → built/taught) with evidence behind every cell and free learning resources for every topic.
Two parts: a static dashboard (index.html) that loads scores from a
canonical JSON profile, and an interactive quiz (quiz.html) backed by a
FastAPI + LLM evaluation engine.
Google Cloud Run (.github/workflows/deploy-cloudrun.yml) — builds the
Dockerfile (FastAPI backend + static files) and deploys it as a container
service on every push to main. This is the full app: dashboard, quiz, and
scoring backend. Cloud Run scales to zero when idle, so it stays within the
free tier for low-traffic personal use.
One-time setup for the Cloud Run workflow (requires a Google Cloud account):
.github/workflows/deploy-cloudrun.yml's auth step for what it expects.GCP_PROJECT_ID — your GCP project IDGCP_WORKLOAD_IDENTITY_PROVIDER — full resource name of the WIF
provider (projects/<number>/locations/global/workloadIdentityPools/<pool>/providers/<provider>)GCP_SERVICE_ACCOUNT — the service account's emailOLLAMA_API_KEY — your Ollama Cloud key (or adapt the workflow/backend
to use OPENROUTER_API_KEY instead, see backend/.env.example).gitlab-ci.yml is a leftover static-only mirror (copies index.html to
public/ for GitLab Pages) and isn't part of the active deploy path.
assets/data/amit-profile.json directly on
GitHub — update a score, push, and the dashboard reflects it on next page
load. Format: {profileName, exportedAt, totalTopics, evaluatedCount, domainNotes, domains} with each topic carrying {score, reasoning, evidence, resources}.assets/js/data.js — the DOMAINS array used by the
quiz. Each topic is [name, level, reasoning, evidence, resources].resources array of
{title, url} objects. These appear in the dashboard's detail rail as
"Learn more" links when a cell is selected.