Infographic-Based Explainable AI Design -- 2
Budget: ₹1,250 – ₹2,500 INR
My product team is building new “Explainable AI” features and I need help turning complex model logic into clear, engaging visuals.
The priority is AI Transparency, and within that, visual explanation tools are the most critical piece for us. I have decided that well-crafted infographics will be the core format, so every deliverable should revolve around that medium.
Here is what I’m looking for:
• A repeatable infographic style (colour palette, iconography, layout grid) that can sit inside a web or mobile UI and instantly show a non-technical user why a recommendation was made.
• 3–4 example infographics that walk through real model outputs we will supply—think “input received → main features weighed → confidence score → final suggestion”, all in one concise visual story.
• Source files in Figma or Adobe Illustrator so my engineers can update text and data later.
• A brief usage guide that explains how to adapt the template for new models or updated feature weights.
Acceptance criteria
• Every infographic must be readable at 320-pixel width without losing key details.
• Colour choices must pass WCAG AA contrast to stay accessible.
• Explanations have to align 1:1 with the numeric feature importance values we will provide—no creative licence on the data.
If you have experience translating AI decision flows into clean, user-friendly visuals and can hit these points, I’d love to see your portfolio and discuss next steps.
The priority is AI Transparency, and within that, visual explanation tools are the most critical piece for us. I have decided that well-crafted infographics will be the core format, so every deliverable should revolve around that medium.
Here is what I’m looking for:
• A repeatable infographic style (colour palette, iconography, layout grid) that can sit inside a web or mobile UI and instantly show a non-technical user why a recommendation was made.
• 3–4 example infographics that walk through real model outputs we will supply—think “input received → main features weighed → confidence score → final suggestion”, all in one concise visual story.
• Source files in Figma or Adobe Illustrator so my engineers can update text and data later.
• A brief usage guide that explains how to adapt the template for new models or updated feature weights.
Acceptance criteria
• Every infographic must be readable at 320-pixel width without losing key details.
• Colour choices must pass WCAG AA contrast to stay accessible.
• Explanations have to align 1:1 with the numeric feature importance values we will provide—no creative licence on the data.
If you have experience translating AI decision flows into clean, user-friendly visuals and can hit these points, I’d love to see your portfolio and discuss next steps.