ClarityAI (A Graph Analysis AI)

We built a graph-based AI that analyzes graphs and automatically translates those insights into plain language in multiple languages so anyone can understand what the graphs mean.

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Inspiration

Many people rely on graphs and charts to understand information, but not everyone processes visual data the same way. Individuals with ADHD and learning disabilities often struggle with identifying key trends, staying focused on complex visuals, or understanding what a graph is trying to communicate. We were inspired to create a tool that removes these barriers by translating graphs into clear, simple language so that data becomes accessible to everyone, regardless of learning style or language.

What it does

The ClarityAI graph analysis AI interprets charts and summarizes them in plain language. By identifying key trends, comparing them, and explaining them in simple language, the report offers a quick and easy way to understand important changes. In addition to supporting multiple languages, the system allows users from different backgrounds to access the same data without requiring technical expertise. By doing so, cognitive overload is reduced and graphs become more inclusive of users with ADHD and learning disabilities.

How we built it

We built ClarityAI by combining graph analysis with the Gemma API model, using Featherless API keys to securely connect our application to AI services.Our system first extracts key information from graphs, such as trends, peaks, and important changes. These insights are structured into simple points and sent to the Gemma model, which converts them into plain-language explanations designed for accessibility.

We also added multilingual support so users can understand graph summaries in their preferred language. By integrating graph processing with AI-powered language generation, ClarityAI transforms complex visual data into clear and inclusive summaries for people with ADHD and learning disabilities.

Challenges we ran into

One of the biggest challenges was accurately identifying which parts of a graph were most important. Graphs can contain a lot of information, and deciding what to summarize without overwhelming the user required careful design. Another challenge was ensuring the language output remained simple and clear without losing meaning. Balancing technical accuracy with accessibility was a key difficulty throughout development.

Accomplishments that we're proud of

We are proud that we created a working AI tool that makes data more understandable for people who struggle with traditional visual graphs. We successfully combined graph analysis with plain-language explanations and multilingual support. Most importantly, we built something that focuses on inclusion and accessibility rather than just technical complexity.

What we learned

Through this project, we learned how to process visual data and transform it into meaningful insights using AI. We also gained a deeper understanding of accessibility challenges faced by individuals with ADHD and learning disabilities. This experience taught us that technology can be powerful not only when it is advanced, but when it is designed with empathy and real users in mind.

What's next for ClarityAI (A Graph Analysis AI)

Next, we plan to expand ClarityAI by adding voice output so users can listen to graph explanations instead of reading them. We also want to improve personalization features, such as allowing users to choose the level of detail in summaries. In the future, ClarityAI could be integrated into educational platforms, screen readers, and data analysis tools to make learning and decision-making more accessible for everyone.

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