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Development of a Generative AI-Powered User Interface for Semantic Database Access in Social Entrepreneurship

tooploox.com

Non-profit

Information technology

Environmental services

Challenges in Semantic Database Accessibility and Usability

Existing AI-powered semantic database requires manual operation due to lack of user interface, causing bottlenecks in information retrieval. System accessibility is limited to technical personnel, requiring hundreds of manual searches via email. Diverse user needs across global teams (partnership, selection, PR) demand tailored interface solutions while maintaining system complexity.

About the Client

Global organization supporting social entrepreneurs through innovation and systemic change initiatives

Objectives for Generative AI Interface Development

Create intuitive user interface for non-technical staff access
Enable self-service semantic search capabilities across departments
Support multiple user roles with specialized interface configurations
Eliminate manual search bottlenecks through automated query processing
Ensure usability without prior system training requirements

Core System Functionalities

Natural language processing (NLP) semantic search interface
Role-based dashboard customization for different teams
Collaboration tools for sharing search results and insights
Interactive training modules for new users
Administrative controls for system configuration

Technology Stack Requirements

React.js for front-end interface

Node.js backend with Python integration

TensorFlow/PyTorch for AI model integration

AWS cloud infrastructure

GraphQL API for data querying

System Integration Needs

Existing semantic database connection
Email notification system integration
User authentication service
Analytics dashboard for usage tracking

Non-Functional Requirements

Support 500+ concurrent users
Response time under 2 seconds for 95% queries
Role-based access control (RBAC)
WCAG 2.1 accessibility compliance
Cross-platform compatibility (desktop/mobile)

Expected Impact of Generative AI Interface Implementation

Projected 80% reduction in manual search requests through self-service interface, enabling 400+ staff members to independently access critical data. Improved decision-making through faster identification of social innovation synergies and verification of entrepreneurial candidates. Enhanced organizational efficiency through standardized AI interaction workflows across global teams.