import { Card, CardContent, CardHeader, CardTitle } from "./ui/card"; import { MedalIcon, MapIcon, PlaneIcon } from "../components/Icons"; interface FeatureProps { icon: JSX.Element; title: string; description: string; } const features: FeatureProps[] = [ { icon: <MedalIcon />, title: "Document Classification", description: "Utilizes AI/ML algorithms to classify documents based on content and metadata", }, { icon: <MapIcon />, title: "Anomaly Detection", description: "Identifies mistakes and misclassifications in document metadata through automated anomaly detection", }, { icon: <PlaneIcon />, title: "User-Friendly Interface", description: "Simplifies the document management process for hospital staff, reducing manual effort and errors", }, ]; export const HowItWorks = () => { return ( <section id="howItWorks" className="container text-center py-22 sm:py-30" > <h2 className="text-3xl md:text-4xl font-bold "> Fast and Accurate{" "} <span className="bg-gradient-to-b from-primary/60 to-primary text-transparent bg-clip-text"> Document Meta Data{" "} </span> Verification </h2> <p className="md:w-3/4 mx-auto mt-4 mb-8 text-xl text-muted-foreground"> DocVerifyRAG revolutionizes document verification in healthcare, harnessing AI to classify documents and rectify metadata errors. With automated anomaly detection, ensure precise data management, compliance, and enhanced patient care. </p> <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-8"> {features.map(({ icon, title, description }: FeatureProps) => ( <Card key={title} className="bg-muted/50" > <CardHeader> <CardTitle className="grid gap-4 place-items-center"> {icon} {title} </CardTitle> </CardHeader> <CardContent>{description}</CardContent> </Card> ))} </div> </section> ); };