Lio Mou
Project OwnerYongli Mou is a Ph.D. candidate with over 8 years of experience in AI research and development. He also provides expertise in coordination and management expertise from previous projects.
The MeTTa Medical Guideline Chatbot (MMGC) project aims to develop an intelligent chatbot system that provides accurate medical guidelines to healthcare professionals and patients. Utilizing the MeTTa programming language, the chatbot will interpret natural language queries, convert them into MeTTa queries, and retrieve relevant medical information from a structured knowledge base. This project will showcase MeTTa's capabilities in natural language processing, data querying, automated reasoning, and demonstrate its potential in creating valuable medical AI applications within the SingularityNET ecosystem.
Create educational and/or useful demos using SingularityNET's own MeTTa programming language. This RFP aims at bringing more community adoption of MeTTa and engagement within our ecosystem, and to demonstrate and expand the utility of MeTTa. Researchers must maintain demos for a minimum of one year.
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Define the project scope, objectives, and technical requirements. Set up the development environment and tools. Align team roles and responsibilities.
Comprehensive project plan and timeline. Technical design documents outlining system architecture. Configured development environment ready for coding.
$2,500 USD
Approval of the project plan by all stakeholders. Successful setup of all development tools and environments. Team members understand their roles and project objectives.
Develop the core NLP module to parse and interpret user queries. Implement MeTTa's pattern-matching capabilities for basic medical queries. Focus on high-frequency medical terms and phrases.
Functional NLP module handling essential medical queries. Test cases demonstrating parsing accuracy and reliability. Documentation of the NLP module's functions and usage.
$5,000 USD
NLP module accurately interprets at least 85% of test queries. Successful conversion of natural language queries into MeTTa syntax. Module passes unit tests for various query structures.
Create a foundational medical knowledge base within MeTTa. Integrate a curated set of authoritative medical guidelines (e.g., common conditions). Ensure data is structured for efficient querying.
Initial knowledge base covering key medical topics. Data source documentation and knowledge base schema. Verification of data accuracy and reliability.
$6,000 USD
Chatbot retrieves correct information for at least 80% of test queries. Knowledge base integrates seamlessly with the NLP module. Data passes validation against trusted medical sources.
Develop a simple, user-friendly web interface for the chatbot. Implement basic features: query input, response display, and session management. Ensure responsive design for accessibility on various devices.
Functional web-based UI for user interaction. Basic styling and navigation elements. User feedback mechanisms (e.g., ratings, comments).
$3,000 USD
Users can input queries and receive responses without technical issues. UI is intuitive based on user testing with at least 5 individuals. Interface operates smoothly on common web browsers.
Integrate the NLP module, knowledge base, and user interface into a cohesive system. Perform comprehensive testing, including functional, integration, and user acceptance tests. Identify and fix critical bugs and performance issues.
Fully integrated chatbot system ready for deployment. Detailed test reports documenting testing procedures and results. List of resolved issues and improvement recommendations.
$4,000 USD
System passes all critical test cases with a success rate of at least 90%. No major bugs remain that hinder basic functionality. Positive feedback from a pilot user group of at least 5 users.
Prepare essential documentation for end-users and developers. Create basic tutorials and guides demonstrating how to use and modify the chatbot. Document code with comments and explanations for clarity.
User manuals and quick-start guides. Developer documentation including code comments and API references. Tutorial videos or step-by-step written guides.
$2,000 USD
Documentation is clear and comprehensible, as confirmed by at least two external reviewers. Tutorials enable new users to interact with the chatbot without assistance. Developers can understand and modify the codebase using the provided documentation.
Deploy the chatbot on a Hyperon instance hosted by SingularityNET. Set up basic monitoring and maintenance protocols. Provide initial support and troubleshoot deployment issues.
Live chatbot accessible to intended users. Deployment and maintenance documentation. Initial performance metrics and user feedback collection setup.
$2,500 USD
Chatbot is live and functioning correctly on the Hyperon platform. Users can access the chatbot without encountering deployment-related issues. Maintenance plan established for ongoing support.
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