[Report/mpDAO Grant 7] AI Chatbot for Meta Pool
We are pleased to announce the completion of the first milestone in our AI Chatbot development project for Meta Pool. Global region. This report details the activities and progress made during this phase.
Report’s Introduction
During the first four weeks of the project, we focused on backend development and documentation processing. The objective of this milestone was to establish the foundational infrastructure necessary for the chatbot to function efficiently, integrating it with key APIs and processing the relevant documentation.
Milestone 1: Backend Development and Documentation Processing
Summary:
In this milestone, we implemented the backend logic, integrating the OpenAI (ChatGPT) and CoinGecko APIs, and processed Meta Pool’s official documentation to ensure accurate and contextually relevant responses.
Key Activities and Achievements:
1. Backend Development:
- Implemented the core backend infrastructure using Python and Flask.
- Developed the necessary endpoints to handle user queries and interact with the AI models.
- Configured logging to monitor application events and ensure smooth operation.
2. API Integration:
- Successfully integrated the OpenAI API to leverage GPT4o-mini for generating responses to user queries.
- Integrated the CoinGecko API to provide real-time cryptocurrency price data, enabling users to get up-to-date market information.
3. Documentation Processing:
- Processed and indexed official Meta Pool documentation to create a knowledge base for the chatbot.
- Ensured that the chatbot can retrieve and utilize information from these documents to provide accurate and authoritative answers.
4. Docker Containerization and Deployment:
- Containerized the project using Docker to ensure consistent and reproducible environments.
- Deployed the Docker container on Google Cloud, providing a minimal user interface to demonstrate the chatbot’s functionality.
(actual demo)
Detailed Breakdown of Achievements:
- Cryptocurrency Price Retrieval: The chatbot can now fetch real-time prices of cryptocurrencies using the CoinGecko API.
- Natural Language Processing with Multilingual Support : The system is capable of translating and understanding questions in multiple languages, ensuring accurate responses to a diverse user base.
- RAG Pipeline: We implemented a Retrieval-Augmented Generation (RAG) pipeline using the Haystack framework, combining document retrieval and language generation for precise answers.
- Session Management: Developed functionality to maintain conversation context, providing coherent and context-aware interactions.
Next Steps:
With the backend infrastructure and documentation processing completed, we will now proceed to Milestone 2, focusing on frontend development and user interface creation.
Conclusion
The successful completion of Milestone 1 sets a strong foundation for the AI Chatbot project. The integration of advanced AI and real-time data capabilities ensures that users will have access to accurate and relevant information. We are excited to move forward with the next phase and continue enhancing the user experience for Meta Pool clients.
We look forward to providing further updates as we progress with the next milestones.
Thank you for your continued support.