MeTTa Medical Guideline Chatbot (MMGC)

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Lio Mou
Project Owner

MeTTa Medical Guideline Chatbot (MMGC)

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Overview

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.

RFP Guidelines

Develop interesting demos in MeTTa

Proposal Submission (4 days left)
  • Type SingularityNET RFP
  • Total RFP Funding $100,000 USD
  • Proposals 10
  • Awarded Projects n/a
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SingularityNET
Aug. 12, 2024

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.

Proposal Description

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  • Total Milestones

    7

  • Total Budget

    $25,000 USD

  • Last Updated

    30 Nov 2024

Milestone 1 - Project Initiation and Planning

Description

Define the project scope, objectives, and technical requirements. Set up the development environment and tools. Align team roles and responsibilities.

Deliverables

Comprehensive project plan and timeline. Technical design documents outlining system architecture. Configured development environment ready for coding.

Budget

$2,500 USD

Success Criterion

Approval of the project plan by all stakeholders. Successful setup of all development tools and environments. Team members understand their roles and project objectives.

Milestone 2 - Natural Language Processing Module Development

Description

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.

Deliverables

Functional NLP module handling essential medical queries. Test cases demonstrating parsing accuracy and reliability. Documentation of the NLP module's functions and usage.

Budget

$5,000 USD

Success Criterion

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.

Milestone 3 - Medical Guidelines Knowledge Base Development

Description

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.

Deliverables

Initial knowledge base covering key medical topics. Data source documentation and knowledge base schema. Verification of data accuracy and reliability.

Budget

$6,000 USD

Success Criterion

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.

Milestone 4 - User Interface Development

Description

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.

Deliverables

Functional web-based UI for user interaction. Basic styling and navigation elements. User feedback mechanisms (e.g., ratings, comments).

Budget

$3,000 USD

Success Criterion

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.

Milestone 5 - Integration and Testing

Description

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.

Deliverables

Fully integrated chatbot system ready for deployment. Detailed test reports documenting testing procedures and results. List of resolved issues and improvement recommendations.

Budget

$4,000 USD

Success Criterion

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.

Milestone 6 - Documentation and Tutorial Creation

Description

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.

Deliverables

User manuals and quick-start guides. Developer documentation including code comments and API references. Tutorial videos or step-by-step written guides.

Budget

$2,000 USD

Success Criterion

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.

Milestone 7 - Deployment and Maintenance

Description

Deploy the chatbot on a Hyperon instance hosted by SingularityNET. Set up basic monitoring and maintenance protocols. Provide initial support and troubleshoot deployment issues.

Deliverables

Live chatbot accessible to intended users. Deployment and maintenance documentation. Initial performance metrics and user feedback collection setup.

Budget

$2,500 USD

Success Criterion

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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