In a world where time is of the essence, creating intuitive and visually appealing charts for applications can often become a resource-intensive task. This blog sample introduces a revolutionary approach—leveraging natural language processing (NLP) and AI to generate Syncfusion .NET MAUI charts effortlessly. With just a few words, you can create, modify, and display charts, enabling developers to focus on data insights rather than UI design.
Syncfusion .NET MAUI Charts are a powerful suite of controls for building cross-platform applications on iOS, Android, macOS, and Windows. By integrating AI-powered natural language processing, this brings an intuitive experience for generating charts with minimal effort.
- Natural Input: Describe your chart in plain language, and AI will generate it for you.
- Automatic JSON Mapping: Converts your input into chart configuration JSON for seamless rendering.
- Cross-Platform Support: Leverages the .NET MAUI framework to ensure charts work across all major platforms.
- Dynamic Modifications: Adjust chart settings, data, or visuals in real time using AI-assisted tools.
- Ease of Use: Removes the technical barrier—anyone can create charts with simple descriptions.
- Efficiency: Eliminates the need for manual chart configuration and design.
- Scalability: Supports various chart types like column, line, pie, doughnut, and spline with a single interface.
- Flexibility: Adapts to evolving data needs with AI-driven updates and refinements.
- Input: Provide a natural language description of the chart, e.g., “Create a line chart for monthly sales.”
- AI Processing: The AI interprets the request and generates a JSON configuration.
- Rendering: The JSON is processed by Syncfusion’s .NET MAUI Charts to display the desired chart.
- Real-Time Updates: Use .NET MAUI AI AssistView to modify or refine the chart dynamically.
AI-powered natural language chart generation transforms the way developers and users visualize data. By eliminating the need for manual design and coding, this approach saves time, boosts productivity, and allows users to focus on what truly matters—data-driven insights.
Path too long exception If you are facing path too long exception when building this example project, close Visual Studio and rename the repository to short and build the project.
For a step-by-step procedure, refer to the Effortlessly Generate Charts with Natural Language Input Using Syncfusion .NET MAUI Toolkit Blog.