{
  "background_color": "#ffffff",
  "description": "This AI-powered Quality Assurance app helps evaluate and predict the quality of herbal and Ayurvedic raw materials using intelligent data analysis. The system analyzes parameters such as moisture content, ash values, extractive values, active constituent assays, geographical source, harvesting season, and storage conditions. Using advanced machine learning models like Decision Tree and Random Forest, the app classifies materials as Acceptable, Marginal, or Reject while generating a quality score (0–100). With a clean professional dashboard, visual analytics, and predictive insights, the app helps improve quality control, reduce variability, and support better decision-making in herbal and pharmaceutical production.",
  "dir": "ltr",
  "display": "fullscreen",
  "name": "AyurNexis 3.1",
  "orientation": "any",
  "scope": "/",
  "short_name": "ayurnexis",
  "start_url": "/",
  "theme_color": "#ffffff",
  "icons": [
    {
      "src": "/favicon.ico",
      "type": "image/x-icon",
      "sizes": "any"
    }
  ],
  "id": "SNIPER2024.PC",
  "display_override": [
    "fullscreen",
    "browser",
    "standalone",
    "window-controls-overlay",
    "minimal-ui"
  ],
  "lang": "en",
  "categories": [
    "education",
    "health",
    "lifestyle",
    "medical",
    "personalization",
    "productivity",
    "utilities"
  ]
}