Homepage

Homepage acts as a gateway to the repository's core sections:

Interface

A clean, accessible interface introduces the repository’s purpose, guiding users with visual prompts to key areas: Radar, Submission, and About. A search bar prominently placed on the homepage allows users to begin exploring tools immediately.

Quick links

Direct access to categorized AI tools or specific sectors of interest, such as fact-checking, production, and distribution.

The homepage also features a carousel showcasing newly added tools and popular categories, along with quick action buttons for submission or case study uploads.

Pages

Radar:AI tools repository

The Radar page is the central hub for exploring curated AI tools. It provides a user-friendly design with a two-column layout:

Left Column: Categories and sub-categories for AI tools are displayed in a collapsible menu (e.g., Newsgathering, Production, Distribution, and Workflow).

Right Column: Tool listings with essential details, including:

• Tool Name
• Category and Sub-Category
• Description
• Supported Languages (e.g., English, French, Spanish)
• Website Link

Submission: Adding Tools and Case Studies

The Submission page allows registered users to contribute:

• AI Tools: Users must provide tool details, including functionality, use cases, and ethical considerations.
• Case Studies: Testimonials or success stories using specific AI tools.
  

The submission form follows a guided schema:

• Step 1: Select the category and sub-category (drop-down menu).
• Step 2: Provide tool details, website links, and contact information.
• Step 3: Upload supporting documentation or visuals (e.g., screenshots, presentations).
• Step 4: Submit for review.

Submissions are vetted for quality and relevance before being added to the repository.

About: The project details and ethical guidelines

The About page provides:

• The background and goals of the project, including the collaboration between IRCAI and UNESCO.
• Ethical AI guidelines, emphasizing transparency and inclusivity.
  A dedicated FAQ section addressing user queries about using and contributing to the repository.

Key features

Data Sources for Entries

Each AI tool entry is backed by a database structured with key attributes:

• Category/Sub-Category: Organized for easy navigation.
• Functionality and Features: Detailed explanations of how each tool operates.
• Practical Guidelines: Step-by-step instructions for implementation.
• Case Studies: User-generated content reviewed by administrators to provide real-world applications.

The website has a sleek and intuitive layout, and is made to work in any bandwidth circumstances:

• Color-Coded Categories: Each category in the Radar section has distinct colors for easy identification.
• Dynamic Filters: Users can filter tools by language support, region-specific applicability, and features.

User Scenarios

Exploring Tools for Fact-Checking:

A journalist looking for misinformation detection tools navigates to "Radar," selects "Newsgathering," and uses filters to find tools for reverse-image searches and geospatial analysis.

Submitting a New Tool:

A developer uploads details of an AI-powered environmental data visualization tool via the "Submission" page.

Learning Best Practices:

A media professional accesses case studies in the "Radar" section to understand how others have effectively used specific AI tools.

Accessibility and multilingual support

Language Options:

The repository is available in English, French, and Spanish.

Accessibility Features:

Compliance with WCAG ensures usability for individuals with disabilities, including screen reader compatibility and keyboard navigation.

Low-Bandwidth Mode:

Optimized for users in regions with limited connectivity, ensuring fast loading times.