Synmaatic Learning Intelligence (SLI)

Three pillars for data-integrated excellence:

1. Learning Lab Matrix — per-standard mastery, made visible.
2. Momentum Metrics — trendlines that predict performance.
3. AI-Supported Insights — compact, actionable summaries.

Quick Start

pip install -r requirements.txt
python -m synmaatic_li.cli --assessments data/assessments_template.csv --certs data/certifications_template.csv --outdir reports

Outputs:

• reports/weekly_report.md
• reports/notion_payload.json

Notebook

Open examples/demo.ipynb for an interactive tour.

Project Vision

• TTL portfolio artifacts, student-facing data rituals, and parent-ready Synmaatic Scholars dashboards — all powered by one open project.

Repo Map

src/synmaatic_li/
  compute.py        # matrix, momentum, insights
  certs.py          # tech roadmap hours checker
  report.py         # markdown + notion payload
  cli.py            # CLI entrypoint
data/
  assessments_template.csv
  certifications_template.csv
examples/
  demo.ipynb
tests/
  test_bands.py
.github/workflows/
  ci.yml
docs/
  ROADMAP.md

Contributing

See CONTRIBUTING.md and CODE_OF_CONDUCT.md.

License

MIT — see LICENSE.