Skip to content

FarmForce Implementation of Interactive UI

Overview

Developed a reusable and dataset-agnostic dashboard system capable of consuming JSON data from government data sources such as data.gov.in APIs and locally stored JSON files. The application dynamically interprets dataset structures and automatically generates interactive visualizations, tables, and filters without requiring manual frontend modifications for each new dataset.

Problem Statement

Government datasets are often:

  • Delivered in large and complex JSON formats
  • Structured differently across various resources and APIs
  • Difficult to directly integrate into frontend applications Because of these inconsistencies, building visual dashboards typically requires:
  • Hardcoded field mappings
  • Dataset-specific UI logic
  • Repetitive frontend customization for every new dataset There was no unified and reusable approach to:
  • Visualize multiple government datasets
  • Dynamically adapt the UI to changing JSON structures
  • Reduce development effort for integrating new datasets

Solution

Implemented a generic JSON-driven dashboard framework that dynamically adapts to varying dataset schemas.

The system:

  • Parses JSON structures automatically
  • Detects available fields dynamically
  • Generates reusable UI components for visualization and interaction

The dashboard supports:

  • API-based JSON responses
  • Locally uploaded JSON files
  • Dynamic rendering without schema-specific coding

Key Features

  • Plug-and-play JSON dataset integration
  • Automatic table generation from detected JSON keys
  • Dynamic filtering based on available dataset fields
  • Automatic chart rendering using numeric data fields
  • Compatibility with both live APIs and static JSON files
  • Reusable and scalable dashboard architecture

Workflow

  1. Provide a JSON dataset through:

    • API response
    • Local JSON file upload

  2. The system automatically:

    • Parses dataset structure
    • Detects fields and data types
    • Generates filters, tables, and charts dynamically

  3. Dashboard updates in real time with:

    • Interactive filters
    • Data tables
    • Visual analytics components

Expected Outcome

  • A reusable dashboard system for multiple government datasets
  • Minimal dependency on hardcoded frontend configurations
  • Faster onboarding of new datasets
  • Improved scalability and maintainability of data visualization workflows

Future Enhancements

  • Intelligent schema detection and field mapping
  • Automatic recommendation of optimal chart types
  • Multi-dataset switching and comparison support
  • AI-powered insights and analytics generation
  • Advanced search and data exploration capabilities
Edited by Vemuri priya