The Pharmaceutical Digital Twin Factory (PDTF) is the world’s first full-stack digital twin and AI-driven control system for global pharmaceutical manufacturing. Built for real-time, predictive, and regulatory-integrated operations, this solution bridges physical production with dynamic simulations and compliance automation.
- Molecule-level digital twin modeling
- Quantum simulation for scenario optimization
- Predictive quality control using AI/ML
- Cross-cultural pharmacogenomic analytics
- Automated FDA/EMA document generation via NLG
- Live integration across global manufacturing hubs (India, Dubai, USA)
Layer | Technology |
---|---|
Frontend | React.js, TypeScript, Tailwind CSS, Next.js (Admin UI, dashboards) |
Backend | Python (FastAPI), Node.js (or Nest.js for orchestrators) |
AI/ML Models | PyTorch, Scikit-learn, Qiskit (IBM Quantum), HuggingFace Transformers |
Quantum Compute | IBM Qiskit, D-Wave Ocean SDK |
Data Streaming | Apache Kafka, MQTT for edge devices |
Digital Twin Engine | Unity + C++ modules (simulation), Python (twin state manager) |
Storage & DB | PostgreSQL (relational), InfluxDB (time-series), IPFS (immutable logs) |
APIs & Connectors | gRPC, REST, HL7 FHIR adapters |
NLP/NLG | OpenAI API, LangChain, GPT-4 |
Compliance & Security | HIPAA/GDPR-compliant; TLS 1.3; OAuth2, JWT |
Infrastructure | Docker, Kubernetes, Terraform, AWS / Azure cloud |
DevOps / CI-CD | GitHub Actions, ArgoCD, Prometheus + Grafana (monitoring) |
Pharmaceutical-Digital-Twin/
├── src/ # Core source code
│ ├── digital_twin/ # Molecule + facility models, simulators
│ ├── ai_generators/ # NLG systems and model trainers
│ └── integration/ # Connectors to global factories
├── frontend/ # React-based admin & monitoring dashboards
├── infra/ # Terraform, Helm charts, Docker Compose
├── docs/ # Architecture diagrams, FDA templates
├── tests/ # Unit + integration tests
└── notebooks/ # Jupyter notebooks for research & demos
git clone https://github.com/JustGoingViral/Pharmaceutical-Digital-Twin.git
cd Pharmaceutical-Digital-Twin
docker-compose up --build
- Run backend (FastAPI):
uvicorn src.main:app --reload
- Launch frontend:
npm install && npm run dev
inside/frontend
- Run all tests:
pytest tests/
When a new molecule is introduced:
- It is digitally cloned with atomic-level precision.
- Simulations run across IBM Q & D-Wave to test thousands of production scenarios.
- AI forecasts batch risk and recommends optimizations.
- Regulatory documents auto-generate and pre-fill for FDA or local agencies.
- The system adapts dynamically between Dubai, India, and U.S. factories based on genomics and supply chain intelligence.
This project is under the MIT License. See LICENSE
for details.
Just Going Viral – justgoingviral.com
Contact: [email protected]
“To digitize a molecule is to digitize a future cure.” – Rifton Morgalis