Real products, not tutorial reproductions
Project briefs across ten domains — SaaS, e-commerce, FinTech, EdTech, healthcare, AI, automation, data science, MLOps and agentic AI. Each one is built on real data, reviewed by a mentor and deployed before it counts as finished.
- Project categories
- 10Project categories
- Mentor reviewed
- Every oneMentor reviewed
- Deployed
- RequiredDeployed
- Real datasets
- YesReal datasets
The portfolio is the outcome
Certificates help a little. A system you built, deployed and can explain under questioning helps considerably more.
Interviews test building, not watching
A technical panel asks what you built, what broke and what you changed. Only project work produces those answers.
Real data, with all its mess
Clean tutorial datasets teach the wrong lesson. Our briefs use data with gaps, inconsistencies and ambiguity.
Reviewed like production code
Mentors review on correctness, readability and maintainability — the criteria a real reviewer would apply.
Deployed, not left on a laptop
A project that runs only locally is half finished. Deployment and monitoring are part of every brief.
Ten categories of real-world build
Each brief states what you build, the stack you build it with and the skills it demonstrates to an interviewer.
Showing 10 of 10 project briefs
Multi-Tenant SaaS Dashboard
A subscription platform with tenant isolation, role-based access, plan limits and a billing integration — the architecture behind most modern software products.
Skills demonstrated
- Multi-tenancy
- Authentication
- Subscription logic
- Access control
- Next.js
- FastAPI
- PostgreSQL
- Stripe-style billing
Storefront with Live Inventory
A commerce application with catalogue, cart, checkout, payment integration and stock reservation that prevents overselling under concurrent orders.
Skills demonstrated
- Transactions
- Concurrency
- Payment flows
- Caching
- React
- Django
- PostgreSQL
- Redis
Expense Intelligence App
An application that ingests statements, categorises transactions automatically and surfaces spending patterns with anomaly detection.
Skills demonstrated
- Data cleaning
- Classification
- Anomaly detection
- Financial data handling
- Python
- Pandas
- Scikit-learn
- FastAPI
Adaptive Learning Platform
A learning system that tracks per-topic mastery and adjusts the next lesson and practice set based on demonstrated performance.
Skills demonstrated
- Progress modelling
- Recommendation logic
- Content sequencing
- Next.js
- FastAPI
- PostgreSQL
Clinical Appointment System
A booking and records system with capacity rules, reminders, role-scoped access to patient data and complete audit logging.
Skills demonstrated
- Scheduling logic
- Sensitive data handling
- Audit trails
- Access control
- React
- Spring Boot
- PostgreSQL
Grounded Knowledge Assistant
A RAG assistant over a large document collection that answers with citations and declines clearly when the answer is not in its sources.
Skills demonstrated
- Chunking
- Hybrid retrieval
- Grounding
- Evaluation
- Python
- Vector database
- LLM APIs
- FastAPI
Document Processing Pipeline
An automated pipeline that extracts structured data from invoices and forms, validates it against a schema and routes low-confidence results for review.
Skills demonstrated
- Extraction
- Schema validation
- Confidence thresholds
- Queue processing
- Python
- OCR
- LLM APIs
- Celery
Demand Forecasting Dashboard
A forecasting system trained on historical sales with seasonality handling, backtesting and confidence intervals shown to users.
Skills demonstrated
- Time series
- Feature engineering
- Backtesting
- Visualisation
- Python
- Pandas
- Scikit-learn
- Plotly
Model Deployment Platform
A pipeline that versions data and models, deploys through a registry with staged promotion, and monitors drift with retraining triggers.
Skills demonstrated
- Pipelines
- Model registry
- Drift detection
- Automated retraining
- Python
- Docker
- Kubernetes
- CI/CD
Multi-Agent Research Workflow
A system where planner, worker and reviewer agents collaborate to research a topic and produce a cited report, with full step-level tracing.
Skills demonstrated
- Tool calling
- Planning
- Multi-agent coordination
- Tracing
- Python
- LLM APIs
- Vector database
- Observability stack
These are the briefs learners work from. Showcases of completed learner work will be published here with permission once the first cohorts have finished.
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