Client: Gilead Sciences, Inc.
Project: AI-Powered Chatbot for COVID-19 Information and Status Updates
Creative Minds partnered with Gilead Sciences to develop an AI-powered chatbot aimed at improving access to real-time COVID-19 information. The chatbot provided patients, healthcare providers, and internal teams with instant, reliable answers regarding treatment guidelines, vaccine updates, and local infection trends, supporting Gilead’s global response efforts.
Scope of Work
- Conversational AI chatbot development
- Integration with medical databases and COVID-19 APIs
- NLP training for medical terminology
- UI/UX for web and mobile chatbot interfaces
- Compliance with HIPAA and global data privacy standards
- Deployment, monitoring, and scalability planning
Key Deliverables
- AI Chatbot Engine: Natural language understanding, multilingual support, guided Q&A, escalation to human support
- User Interface: Embedded chatbot widget for web and mobile, custom chat UI with branding
- Backend Integration: Secure data pipelines with COVID-19 data sources and Gilead’s internal systems
- Analytics Dashboard: Real-time usage stats, sentiment analysis, and feedback loop for training
- Documentation: NLP model training docs, integration guides, support workflows
Technology Stack
- AI & NLP: Dialogflow, Python (NLTK, spaCy)
- Frontend: Sass, Swift, Objective C, Java
- Backend: PHP Laraval, Python
- Database: MySQL
- Third party integrations: CDC, WHO, and Gilead proprietary sources
- Security: OAuth 2.0, HIPAA-compliant hosting, data anonymization
Quality Assurance
- End-to-end testing for chat flows and fallback scenarios
- Multilingual and accessibility testing
- Security and compliance verification
- Continuous training and refinement of AI models
- UAT with internal stakeholders and healthcare professionals
The chatbot was critical in distributing timely and accurate COVID-19 updates at scale. It reduced support workloads, improved user engagement, and reinforced Gilead’s leadership in health innovation during the pandemic response.