____ ____ ___ _ _____ ____ _____ _ _____ _ _ ____
| _ \| _ \ / _ \ | | ____/ ___|_ _| / \|_ _| | / \ / ___|
| |_) | |_) | | | |_ | | _|| | | | / _ \ | | | | / _ \ \___ \
| __/| _ <| |_| | |_| | |__| |___ | | / ___ \| | | |___ / ___ \ ___) |
|_| |_| \_\\___/ \___/|_____\____| |_| /_/ \_\_| |_____/_/ \_\____/
121 projects * 16 tracks * superintelligence alignment * quantum * 1 nation-scale master
121 build-ready project briefs for an edge-AI, security and data engineer, each one sized, budgeted, phased and gated. Seventy-one are level-5: fifty masterpieces, twenty at the frontier of AI alignment and quantum computing, and one sovereign AI blueprint for a nation of 100 million.
This repo is a map, not an implementation. Every brief is a plan for a project that has not been
built yet. Nothing here claims a measured result. What it does claim is that the plans are complete and
consistent, and that claim is machine-checked: the briefs are generated from tracks/*.yaml, and CI
fails if the pages, the index, the counts or the cross-references drift apart.
by the numbers counted from tracks/*.yaml by tools/validate.py
briefs = 121 tracks = 16 level-5 = 71
masterpiece tier = 50 frontier tier = 20 grand master = 1
every brief: 4 phases, 2+ gate metrics, 2+ defend questions, an ethics line
verify it yourself don't take the prose on trust
pip install pyyaml pytest
pytest -q # schema and consistency checks over every brief
python tools/validate.py # fields, sections, links, counts, upgrade paths
python tools/render.py --check # the pages still match the data that generated them
The flagship project is LANTERN, an offline flood search-and-rescue kit. The atlas is the map of what comes next. Each brief has the mission, the architecture, the kit, a phased campaign, a measurable gate, the ethics line, a resume bullet waiting for real numbers, and the questions you must be able to answer out loud.
[ H ] FRONTIER
47-50 research
^
[ G ] PEOPLE & SPORT | [ A ] EDGE AI & ROBOTICS
42-46 | 01-08
\ | /
\ | /
[ F ] VISION & GEO ------------- ( YOU ) ------------- [ B ] GENERATIVE AI
36-41 / | \ 09-15
/ | \
/ | \
[ E ] CLOUD & MLOPS | [ C ] AI SAFETY & GOVERNANCE
29-35 v 16-21
[ D ] CYBER DEFENSE
22-28
1. Does it reuse something you already built? (LANTERN rover, map pack, Guardian ...)
2. Does it fill a gap a job posting asked for? (check 3 real postings)
3. Can you show a measured number in 8 weeks? (if not, pick a lower level)
4. Would you explain it at dinner without slides? (if not, it's not your story yet)
Rule of the atlas: one active project at a time next to LANTERN. A project gets its own repo only on the day you start it, and goes public when it has a first measured result.
[#....] 1 a weekend-scale build, one new skill
[##...] 2 a few months, a clear pipeline, public data
[###..] 3 real hardware or real evaluation work, a few moving parts
[####.] 4 research-flavoured, distributed or safety-critical; plan for setbacks
[#####] 5 reserved for LANTERN-scale capstones
__________________________________
| M A S T E R P I E C E T I E R |
|__________________________________|
|
+-------------+-------------+--+----------+-------------+
| | | | |
[ I ] 51-60 [ J ] 61-70 [ K ] 71-80 [ L ] 81-90 [ M ] 91-100
AUTONOMOUS FOUNDATION TRUST & PLANET & CIVIC, SCIENCE
SYSTEMS MODELS & SECURITY & CLIMATE & & HUMAN
AI INFRA SOVEREIGNTY INFRA PERFORMANCE
Every masterpiece brief adds a system map, a technology-readiness target, a publication venue, deliverables, and the standards and regulations it must meet. Each runs 12–24 months.
Every original project (01–50) now carries a masterpiece upgrade path (from upgrades.yaml) showing
how it grows into one or more level-5 builds. The professional bar for all of them is the
Masterpiece Standard: twelve pillars from requirements to proof of impact.
the honest math: 50 masterpieces x 12-24 months = a career, not a year.
pick ONE masterpiece next to LANTERN. finish it. publish it. then pick the next.
* . [ 121 NATIONSTACK ] . *
. sovereign AI for 100M people
/ \
[ N ] 101-110 SUPERINTELLIGENCE ALIGNMENT [ O ] 111-120 QUANTUM
interpretability, AI control, sandbagging, error-correction decoders, honest QML,
model organisms, scalable oversight, evals, error mitigation, compilers, QKD,
deception probes, reward hacking, CoT, compute GPU simulators, verified quantum agents,
governance resource estimates for nations
No one builds superintelligence in a garage. The frontier labs and AI safety institutes are hiring people who can make increasingly capable systems understandable, controllable and measurable, and that's what track N trains. Track O is honest quantum: beat the classical baseline or publish that it didn't.
Every frontier page has a Who sees this section naming the fellowship, institute, hackathon or open-source project where that work gets in front of leaders. The Visibility Playbook turns them into a 12-month plan.
NATIONSTACK (121) assembles the whole atlas into a sovereign AI ecosystem for a country of 100 million people: ten pillars, a reference architecture, a working miniature, and a capacity model that turns population into GPUs, megawatts and euros with every assumption visible. Start at master/nationstack/.
Intelligence where the cloud can't reach.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 01 | TIDEWATCH | River-gauge early warning on solar sensor nodes | ##... |
4 |
| 02 | HIVEMIND | Beehive health monitor with on-device audio AI | ##... |
3 |
| 03 | FORESTER | Wildfire smoke spotter for the Palatinate Forest | ###.. |
5 |
| 04 | BRIDGEKEEPER | Concrete crack inspection with an edge vision pipeline | ###.. |
4 |
| 05 | VINEGUARD | Vineyard disease detection for Pfalz winemakers | ##... |
4 |
| 06 | QUIETNET | Cloud-free voice control for the home | #.... |
2 |
| 07 | PACKMULE | Follow-me cargo rover for volunteers | ###.. |
3 |
| 08 | ICEROAD | Road ice prediction from low-cost roadside sensors | ##... |
3 |
Language models that earn their answers.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 09 | AMTSDEUTSCH | Offline explainer for German government letters | ##... |
3 |
| 10 | VERITAS | Citation-checked RAG for technical manuals | ###.. |
3 |
| 11 | SKILLBRIDGE-COPILOT | Military-to-civilian skills translator | ##... |
3 |
| 12 | LOOM | Distil a big model's skill into a tiny one | ####. |
3 |
| 13 | ECHO | Offline meeting notes on a laptop | ##... |
2 |
| 14 | PATCHWORK | Code-review agent that writes the missing tests | ###.. |
3 |
| 15 | GRANITE | Regression-test harness for LLM applications | ##... |
2 |
Trust is a feature you can test.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 16 | TRIPWIRE | Prompt-injection firewall for LLM apps | ###.. |
3 |
| 17 | LEDGER | Tamper-evident audit log service for AI decisions | ##... |
2 |
| 18 | REDCELL | Automated red-team harness for AI agents | ###.. |
3 |
| 19 | CHARTER | AI Act documentation generator | ##... |
2 |
| 20 | FAIRLINE | Bias audit toolkit for tabular models | ##... |
2 |
| 21 | SANDBOX | Capability-limited sandbox for agent tools | ####. |
3 |
Defend the network you actually have.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 22 | SENTRY | Home-network intrusion detection with ML anomaly scoring | ##... |
3 |
| 23 | HONEYCOMB | Honeypot fleet with LLM-written threat summaries | ##... |
2 |
| 24 | PHISHNET | Explainable phishing classifier | ##... |
3 |
| 25 | SBOM-RADAR | Software supply-chain risk dashboard | ##... |
2 |
| 26 | ZEROTRUST-LAB | Zero-trust access lab | ###.. |
2 |
| 27 | LOGLENS | SIEM-lite with LLM-assisted triage | ###.. |
3 |
| 28 | GHOSTPRINT | Firmware integrity checker for IoT devices | ###.. |
3 |
Models are easy. Production is the project.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 29 | CONVEYOR | End-to-end MLOps platform on k3s | ####. |
4 |
| 30 | RIVERFLOW | Streaming lakehouse for German open water data | ###.. |
3 |
| 31 | FEATUREFORGE | Minimal feature store built from scratch | ###.. |
3 |
| 32 | COLDSTART | Serverless inference cost optimiser | ###.. |
2 |
| 33 | WATCHTOWER | Model drift and data-quality monitoring | ##... |
2 |
| 34 | DATACOMPASS | Data lineage and catalogue | ##... |
2 |
| 35 | SPOTFLEET | Fault-tolerant GPU training on spot instances | ###.. |
2 |
See the world from the ground and from orbit.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 36 | ORBITAL | Sentinel-2 change detection for floods and burn scars | ###.. |
3 |
| 37 | ROOFTOP | Solar potential map from open elevation data | ###.. |
3 |
| 38 | TRAFFICLENS | Privacy-first traffic counting at the edge | ###.. |
3 |
| 39 | GREENLINE | Urban tree canopy and heat map | ##... |
2 |
| 40 | POTHOLE-PATROL | Dashcam road damage detection | ##... |
2 |
| 41 | HERITAGE3D | 3D scans of Palatinate castle ruins | ###.. |
2 |
Tech that helps someone you can name.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 42 | HURDLE | Hurdle technique analysis with pose estimation | ##... |
2 |
| 43 | POOLSHARK | Pool shot analysis and training coach | ##... |
2 |
| 44 | CLIMB-TRANSITION | Veteran transition dashboard | ##... |
3 |
| 45 | RECEIPTLENS | Grocery receipt scanner and price tracker | #.... |
2 |
| 46 | SPRECHEN | Offline German speaking coach | ##... |
3 |
Where the next job titles come from.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 47 | NEUROSPARK | Spiking neural networks for ultra-low-power sensing | ####. |
3 |
| 48 | QUANTUMSAFE | Post-quantum crypto migration for IoT | ####. |
3 |
| 49 | SWARM | Multi-robot search coordination in simulation | ####. |
4 |
| 50 | HEARTH | Home energy digital twin with reinforcement learning | ####. |
4 |
Machines that go where people shouldn't, and come back with answers.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 51 | SEAWALL | Autonomous survey boat for river and flood-plain mapping | ##### |
18 |
| 52 | FLEETMIND | Heterogeneous robot fleet for disaster mapping | ##### |
20 |
| 53 | EDGEOS | Secure, updatable OS image for edge-AI fleets | ##### |
14 |
| 54 | ROADSAGE | Driver-assistance research stack with a safety monitor | ##### |
16 |
| 55 | RAILWATCH | Autonomous rail-track inspection trolley | ##### |
16 |
| 56 | AGRIFLEET | Autonomous vineyard robot for mechanical weeding | ##### |
20 |
| 57 | PIPEPROBE | In-pipe inspection crawler for sewers | ##### |
14 |
| 58 | SKYLANE | Drone traffic management simulator (U-space) | ##### |
14 |
| 59 | RECYCLR | Tactile robot arm that sorts recyclables | ##### |
16 |
| 60 | MESHLIFE | Disaster mesh network with AI message triage | ##### |
14 |
Build the engine, not just the car.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 61 | TINYFOUNDRY | Train a small language model from scratch, end to end | ##### |
12 |
| 62 | AERIALVLM | Vision-language model for disaster aerial imagery | ##### |
14 |
| 63 | INFERNO | LLM inference server built from scratch | ##### |
14 |
| 64 | MINICOMPILER | Tiny ML compiler for edge accelerators | ##### |
16 |
| 65 | RAGOPS | Multi-tenant enterprise RAG platform | ##### |
14 |
| 66 | AGENTGRID | Verified multi-agent workflow runtime | ##### |
14 |
| 67 | EDGEBENCH | Benchmark and leaderboard for on-device LLMs | ##### |
12 |
| 68 | FEDERATE | Federated learning across edge devices with privacy guarantees | ##### |
14 |
| 69 | SYNTHSCENE | Synthetic data engine for rare disaster scenes | ##### |
14 |
| 70 | HOMECLUSTER | Small GPU cluster with a real scheduler and MLOps | ##### |
12 |
Prove it, don't promise it.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 71 | SOVEREIGN | EU sovereign AI reference stack, on-prem | ##### |
18 |
| 72 | ENCLAVE | Confidential AI inference with remote attestation | ##### |
14 |
| 73 | ZKAUDIT | Zero-knowledge proofs for AI compliance claims | ##### |
16 |
| 74 | AUTOSOC | Human-gated autonomous security operations centre | ##### |
16 |
| 75 | MODELCHAIN | Signed, provenance-tracked ML model supply chain | ##### |
12 |
| 76 | DPVAULT | Differential privacy analytics platform | ##### |
12 |
| 77 | PROVENANCE | Content provenance and deepfake detection for newsrooms | ##### |
14 |
| 78 | PROVENGUARD | Formally verified guardrail policy engine | ##### |
18 |
| 79 | OTSENTINEL | Industrial control system anomaly detection lab | ##### |
14 |
| 80 | CREDMESH | Verifiable credentials for responders at disaster sites | ##### |
12 |
Model the world well enough to protect it.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 81 | FLOODTWIN | Hydrodynamic digital twin of the Ahr valley with an ML surrogate | ##### |
20 |
| 82 | GRIDBRAIN | Municipal grid-edge forecasting and battery dispatch | ##### |
14 |
| 83 | PLUMEWATCH | Methane plume detection from satellites | ##### |
14 |
| 84 | HEATSHIELD | City heat-wave early warning and vulnerability map | ##### |
12 |
| 85 | LEAKNET | Water network leak detection with acoustic sensors and graph ML | ##### |
16 |
| 86 | DROUGHTSENSE | Drought and soil-moisture forecasting from radar satellites | ##### |
16 |
| 87 | BRIDGESHM | Structural health monitoring with vibration sensors and a digital twin | ##### |
16 |
| 88 | FIRESPREAD | Wildfire spread surrogate and resource planner | ##### |
16 |
| 89 | SURGECAST | Storm-surge forecasting for the North Sea coast | ##### |
12 |
| 90 | KMWEATHER | Kilometre-scale weather downscaling with ML | ##### |
16 |
Big skills, pointed at real people.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 91 | ATHLETEOS | Sprint and hurdle performance platform | ##### |
14 |
| 92 | COMMANDSIM | Incident command training simulator with AI role players | ##### |
14 |
| 93 | VERWALTUNG | Citizen navigator for German administrative procedures | ##### |
14 |
| 94 | SKYEDGE | Edge AI for amateur telescope transient detection | ##### |
14 |
| 95 | BABEL | Offline speech translation device for responders | ##### |
14 |
| 96 | WAYFINDER | Indoor navigation for blind and low-vision users | ##### |
16 |
| 97 | REPROBOT | Research agent that reproduces ML papers, with verification | ##### |
16 |
| 98 | QUESTLINE | Adaptive, gamified engineering curriculum engine | ##### |
14 |
| 99 | HELPERHUB | Coordination platform for spontaneous disaster volunteers | ##### |
14 |
| 100 | CITYTWIN | Open digital twin of a mid-size city | ##### |
24 |
Nobody builds superintelligence in a garage. Everybody who matters is hiring people who can make it safe.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 101 | GLASSBOX | Mechanistic interpretability of a small open model with sparse autoencoders | ##### |
12 |
| 102 | CONTROLROOM | AI control protocols for untrusted coding agents | ##### |
12 |
| 103 | SANDBAG | Detecting sandbagging in capability evaluations | ##### |
12 |
| 104 | MODELORGS | Model organisms of emergent misalignment | ##### |
14 |
| 105 | WEAKJUDGE | Scalable oversight with debate and weak-to-strong supervision | ##### |
12 |
| 106 | EVALSMITH | New safety evaluations contributed to Inspect Evals | ##### |
12 |
| 107 | TRUTHPROBE | Lie and deception detection with activation probes | ##### |
12 |
| 108 | REWARDGUARD | Catching reward hacking in RL-trained coding agents | ##### |
14 |
| 109 | COTWATCH | Chain-of-thought monitorability study | ##### |
12 |
| 110 | COMPUTEWATCH | Technical AI governance with hardware-backed compute verification | ##### |
14 |
Honest quantum: beat the classical baseline or say so.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 111 | QDECODER | Neural decoders for quantum error correction | ##### |
12 |
| 112 | QMLTRUTH | Honest quantum machine learning benchmark | ##### |
12 |
| 113 | QROUTE | Quantum optimisation for disaster logistics, against strong classical solvers | ##### |
12 |
| 114 | QMITIGATE | Error mitigation contributions and real-hardware benchmarks | ##### |
12 |
| 115 | QCHEM | Quantum chemistry for battery materials, with honest classical comparison | ##### |
14 |
| 116 | QCOMPILE | Quantum circuit optimisation passes | ##### |
12 |
| 117 | QKDNET | Quantum key distribution network simulator for critical communications | ##### |
12 |
| 118 | QSIMGPU | GPU-accelerated quantum circuit simulator | ##### |
14 |
| 119 | QAGENT | AI agent that writes and verifies quantum programs | ##### |
12 |
| 120 | QREADY | When will quantum matter? Resource estimates for real national problems | ##### |
12 |
Everything in this atlas, assembled for a whole country.
| # | Codename | Project | Level | Months |
|---|---|---|---|---|
| 121 | NATIONSTACK | Sovereign AI ecosystem for a nation of 100 million people | ##### |
36 |
tracks/*.yaml --(python tools/render.py)--> projects/*.md + this index
|
CI: tests/ + render --check
Edit a brief in tracks/, run python tools/render.py, commit both. CI fails if the pages and the data
drift apart.
- Measured numbers only: every metric has a date, hardware and git commit.
- Public or synthetic data; data card before training.
- Civilian use. Defensive security only, on systems you own or are allowed to test.
- Honest limits section in every README.
Apache-2.0. Datasets and services named in the briefs keep their own licences.