Onboarding

Understand the project scope and learn about LLM (Large Language Models)

• review the existing Hyperledger Labs AIFAQ documentation

Understand the project scope and learn about LLM (Large Language Models)

• research and document the basics of LLM, focusing on how they can be applied to create intelligent ChatBots
• setup and familiarize with existing codespace

Develop the front-end component of the ChatBot

• design a user-friendly interface for the ChatBot using JavaScript
• implement the interface as a functional prototype that can later be integrated with the backend LLM

Understand Cloud Architecture and Deployment

• research cloud service providers (e.g., AWS, Google Cloud, Azure) and their offerings
• document the pros and cons of each service with respect to the project's needs and select one for deployment.
• begin the deployment of the front-end component as a test.

Containerization

• research and document the basics of container technology (e.g., Docker).
• create a simple container for the ChatBot's front-end.

Buffer Time & Documentation

• catch up

• on documenting the current progress

Integration & Testing

• integrate the front-end component with the LLM backend, ensuring they communicate effectively.
• conduct initial testing and document any issues or bugs.

Cloud Server Deployment

• finalize the deployment of the ChatBot on the chosen cloud service
• perform comprehensive testing to ensure functionality and performance standards are met

Buffer Time & Documentation

Project Documentation & Quality Assurance

• document the project extensively, including setup instructions, user guides, and technical details
• perform final rounds of testing, focusing on user experience and bug fixing

Project Wrap-up, Review & Feedback

• organize a project demonstration for stakeholders to gather feedback
• reflect on the project process, documenting lessons learned and potential improvements
• finalize all project documentation and ensure all code and resources are well-organized and accessible
• outline potential future enhancements and areas for further development

Final Evaluation