Wdipl-react/pages/MachineLearning.tsx

import { motion } from "framer-motion";
import {
  BarChart3,
  Brain,
  Calendar,
  Eye,
  Lightbulb,
  MessageSquare,
  Rocket,
  Settings,
  Target,
  TrendingUp,
  UserPlus,
  Zap
} from "lucide-react";
import { FAQSection } from "../components/FAQSection";
import { Footer } from "../components/Footer";
import { Navigation } from "../components/Navigation";
import { ProcessSection } from "../components/ProcessSection";
import { Badge } from "../components/ui/badge";
import { Button } from "../components/ui/button";
import { Card, CardContent } from "../components/ui/card";
import { ShimmerButton } from "../components/ui/shimmer-button";
import { Helmet } from "react-helmet-async";
import { useNavigate } from "react-router-dom";

// Enhanced Hero Section
const HeroWithCTA = () => {
  const navigate = useNavigate();
  return (
    <section className="relative py-20 overflow-hidden bg-black">
      <Helmet>
        {/* Page Title and Meta Description */}
        <title>Machine Learning | Advanced ML Development Services | WDI</title>
        <meta
          name="description"
          content="Explore WDI’s machine learning development services. From automation to smart predictions, we apply cutting-edge ML techniques across industries."
        />

        {/* Canonical Link */}
        <link rel="canonical" href="https://www.wdipl.com/machine-learning" />

        {/* Open Graph Tags (for Facebook, LinkedIn) */}
        <meta property="og:title" content="Machine Learning | Advanced ML Development Services | WDI" />
        <meta
          property="og:description"
          content="Explore WDI’s machine learning development services. From automation to smart predictions, we apply cutting-edge ML techniques across industries."
        />
        <meta property="og:url" content="https://www.wdipl.com/services" />
        <meta property="og:type" content="website" />
        <meta property="og:image" content="https://www.wdipl.com/your-preview-image.jpg" />

        {/* Twitter Card Tags */}
        <meta name="twitter:card" content="summary_large_image" />
        <meta name="twitter:title" content="Machine Learning | Advanced ML Development Services | WDI" />
        <meta
          name="twitter:description"
          content="Explore WDI’s machine learning development services. From automation to smart predictions, we apply cutting-edge ML techniques across industries."
        />
        <meta name="twitter:image" content="https://www.wdipl.com/your-preview-image.jpg" />

        {/* Social Profiles (using JSON-LD Schema) */}
        <script type="application/ld+json">
          {`
                              {
                                "@context": "https://schema.org",
                                "@type": "Organization",
                                "name": "WDI",
                                "url": "https://www.wdipl.com",
                                "sameAs": [
                                  "https://www.facebook.com/wdideas",
                                  "https://www.linkedin.com/in/website-developers-india/",
                                  "https://www.instagram.com/wdipl/"
                                ]
                              }
                            `}
        </script>
      </Helmet>
      <div className="container mx-auto px-6 lg:px-8">
        <div className="grid lg:grid-cols-2 gap-16 items-center min-h-[90vh]">
          <motion.div
            initial={{ opacity: 0, x: -50 }}
            animate={{ opacity: 1, x: 0 }}
            transition={{ duration: 0.8 }}
            className="space-y-8"
          >
            {/* Machine Learning Label */}
            <motion.div
              initial={{ opacity: 0, y: 20 }}
              animate={{ opacity: 1, y: 0 }}
              transition={{ duration: 0.6 }}
            >
              <span className="text-white/70 text-sm font-medium">Machine Learning</span>
            </motion.div>

            {/* Main Heading - Left aligned, reduced font size */}
            <div className="space-y-6">
              <h1 className="text-4xl sm:text-5xl md:text-6xl font-semibold leading-tight text-left">
                <span className="text-white">Advanced </span>
                <span className="text-[#E5195E]">Machine Learning</span>
                <span className="text-white"> Solutions</span>
              </h1>

              <p className="text-lg text-gray-300 leading-relaxed max-w-lg">
                Harness the power of machine learning to predict outcomes, automate decisions, and unlock data‑driven insights with scalable, AI‑powered predictive analytics and decision‑automation solutions.
              </p>
            </div>

            {/* CTAs */}
            <motion.div
              initial={{ opacity: 0, y: 20 }}
              animate={{ opacity: 1, x: 0 }}
              transition={{ duration: 0.8, delay: 0.3 }}
              className="flex flex-col sm:flex-row gap-4"
            >
              <ShimmerButton className="text-lg px-8 py-4"
                //  onClick={() => navigate('/contact/schedule-a-discovery-call')}
                onClick={() => navigate("/start-a-project")}
              >
                <div className="inline-flex items-center gap-2">
                  <Calendar className="w-4 h-4 flex-shrink-0" />
                  <span>ML Strategy Session</span>
                </div>
              </ShimmerButton>
              <Button
                variant="secondary"
                size="lg"
                className="text-lg px-8 py-4 h-auto"
                onClick={() => navigate('/case-studies')}
              >
                <BarChart3 className="w-4 h-4 flex-shrink-0" />
                <span>View ML Case Studies</span>
              </Button>
            </motion.div>
          </motion.div>

          {/* Right side with stats */}
          <motion.div
            initial={{ opacity: 0, x: 50 }}
            animate={{ opacity: 1, x: 0 }}
            transition={{ duration: 0.8, delay: 0.2 }}
            className="relative flex flex-col items-center"
          >
            <motion.div
              initial={{ opacity: 0, y: 30 }}
              animate={{ opacity: 1, y: 0 }}
              transition={{ duration: 0.8, delay: 0.6 }}
              className="grid grid-cols-2 gap-8 text-center"
            >
              <div className="space-y-2 flex flex-col items-center">
                <div className="text-3xl lg:text-4xl font-bold text-white">200+</div>
                <div className="text-sm text-gray-400 leading-tight">ML Models Built</div>
              </div>

              <div className="space-y-2 flex flex-col items-center">
                <div className="text-3xl lg:text-4xl font-bold text-white">95%</div>
                <div className="text-sm text-gray-400 leading-tight">Accuracy Rate</div>
              </div>

              <div className="space-y-2 flex flex-col items-center">
                <div className="text-3xl lg:text-4xl font-bold text-white">50%</div>
                <div className="text-sm text-gray-400 leading-tight">Faster Predictions</div>
              </div>

              <div className="space-y-2 flex flex-col items-center">
                <div className="text-3xl lg:text-4xl font-bold text-white">24/7</div>
                <div className="text-sm text-gray-400 leading-tight">Model Monitoring</div>
              </div>
            </motion.div>
          </motion.div>
        </div>
      </div>
    </section>
  );
};

// Enhanced Horizontal Tag Scroller with ML Techniques
const HorizontalTagScroller = () => {
  const techniques = [
    { name: "Deep Learning", icon: Brain, color: "text-blue-400" },
    { name: "Predictive Analytics", icon: TrendingUp, color: "text-green-400" },
    { name: "Computer Vision", icon: Eye, color: "text-purple-400" },
    { name: "Natural Language Processing", icon: MessageSquare, color: "text-cyan-400" },
    { name: "Recommendation Systems", icon: Target, color: "text-orange-400" },
    { name: "Time Series Forecasting", icon: BarChart3, color: "text-yellow-400" }
  ];

  return (
    <section className="py-32 bg-background">
      <div className="container mx-auto px-6 lg:px-8">
        <motion.div
          initial={{ opacity: 0, y: 30 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8 }}
          viewport={{ once: true }}
          className="text-left mb-20"
        >
          <h2 className="text-3xl lg:text-4xl font-semibold mb-8">
            <span className="text-white">Advanced </span>
            <span className="text-[#E5195E]">ML Techniques</span>
            <span className="text-white"> We Master</span>
          </h2>
          <p className="text-xl text-gray-300 max-w-4xl leading-relaxed">
            Cutting‑edge machine learning methodologies that deliver accurate predictions, intelligent automation, and scalable AI‑driven analytics across high‑impact use cases.
          </p>
        </motion.div>

        <motion.div
          initial={{ opacity: 0, y: 40 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8, delay: 0.2 }}
          viewport={{ once: true }}
          className="relative overflow-hidden"
        >
          <div className="absolute left-0 top-0 bottom-0 w-20 bg-gradient-to-r from-card to-transparent z-10 pointer-events-none"></div>
          <div className="absolute right-0 top-0 bottom-0 w-20 bg-gradient-to-l from-card to-transparent z-10 pointer-events-none"></div>

          <div className="flex animate-marquee hover:animate-marquee-paused">
            {/* First set */}
            {techniques.map((technique, index) => {
              const IconComponent = technique.icon;
              return (
                <motion.div
                  key={`first-${technique.name}-${index}`}
                  initial={{ opacity: 0, scale: 0.8 }}
                  whileInView={{ opacity: 1, scale: 1 }}
                  transition={{ duration: 0.5, delay: index * 0.01 }}
                  viewport={{ once: true }}
                  className="group flex-shrink-0 mx-3"
                >
                  <div className="bg-card/20 backdrop-blur-md rounded-2xl border border-white/10 px-8 py-6 hover:border-accent/30 transition-all duration-300 cursor-pointer shadow-lg hover:shadow-xl min-w-fit group-hover:scale-105 group-hover:-translate-y-1">
                    <div className="flex items-center gap-4">
                      <div className={`w-8 h-8 flex items-center justify-center ${technique.color}`}>
                        <IconComponent className="w-6 h-6" />
                      </div>
                      <span className="text-xl font-medium text-foreground whitespace-nowrap">
                        {technique.name}
                      </span>
                    </div>
                  </div>
                </motion.div>
              );
            })}

            {/* Second and third sets for seamless loop */}
            {[...techniques, ...techniques].map((technique, index) => {
              const IconComponent = technique.icon;
              return (
                <motion.div
                  key={`loop-${technique.name}-${index}`}
                  initial={{ opacity: 0, scale: 0.8 }}
                  whileInView={{ opacity: 1, scale: 1 }}
                  transition={{ duration: 0.5, delay: (index + techniques.length) * 0.1 }}
                  viewport={{ once: true }}
                  className="group flex-shrink-0 mx-3"
                >
                  <div className="bg-card/20 backdrop-blur-md rounded-2xl border border-white/10 px-8 py-6 hover:border-accent/30 transition-all duration-300 cursor-pointer shadow-lg hover:shadow-xl min-w-fit group-hover:scale-105 group-hover:-translate-y-1">
                    <div className="flex items-center gap-4">
                      <div className={`w-8 h-8 flex items-center justify-center ${technique.color}`}>
                        <IconComponent className="w-6 h-6" />
                      </div>
                      <span className="text-xl font-medium text-foreground whitespace-nowrap">
                        {technique.name}
                      </span>
                    </div>
                  </div>
                </motion.div>
              );
            })}
          </div>
        </motion.div>
      </div>
    </section>
  );
};

// Why Choose WDI Section
const SideBySideContentWithIcons = () => {
  const advantages = [
    {
      id: "accuracy",
      title: "High Accuracy Models",
      icon: Target
    },
    {
      id: "scalable",
      title: "Scalable Solutions",
      icon: TrendingUp
    },
    {
      id: "realtime",
      title: "Real-time Processing",
      icon: Zap
    },
    {
      id: "expertise",
      title: "ML Expertise",
      icon: Brain
    },
    {
      id: "deployment",
      title: "Production-Ready",
      icon: Rocket
    }
  ];

  return (
    <section className="py-32 bg-black">
      <div className="container mx-auto px-6 lg:px-8">
        <motion.div
          initial={{ opacity: 0, y: 30 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8 }}
          viewport={{ once: true }}
          className="text-left mb-16"
        >
          <h2 className="text-3xl lg:text-4xl font-semibold leading-tight mb-6">
            <span className="text-white">Why Choose </span>
            <span className="text-[#E5195E]">WDI</span>
            <span className="text-white"> for Machine Learning</span>
          </h2>

          <p className="text-xl text-gray-300 leading-relaxed">
           Advanced ML capabilities with proven business outcomes, production‑ready AI models, and enterprise‑grade deployment and MLOps for scalable, secure machine learning solutions.
          </p>
        </motion.div>

        <motion.div
          initial={{ opacity: 0, y: 40 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8, delay: 0.2 }}
          viewport={{ once: true }}
          className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 xl:grid-cols-5 gap-6 max-w-7xl mx-auto"
        >
          {advantages.map((advantage, index) => {
            const IconComponent = advantage.icon;

            return (
              <motion.div
                key={advantage.id}
                initial={{ opacity: 0, y: 20 }}
                whileInView={{ opacity: 1, y: 0 }}
                transition={{ duration: 0.5, delay: index * 0.01 }}
                viewport={{ once: true }}
                whileHover={{ y: -8, scale: 1.02 }}
                className="group cursor-pointer"
              >
                <Card className="bg-gray-900/50 backdrop-blur-md border-gray-700/50 hover:border-accent/30 transition-all duration-300 shadow-lg hover:shadow-xl rounded-2xl h-full overflow-hidden">
                  <CardContent className="p-8 flex flex-col items-center text-center h-full justify-center min-h-[180px]">
                    <div className="mb-6">
                      <IconComponent className="w-10 h-10 text-accent mx-auto" />
                    </div>

                    <h3 className="text-lg font-semibold text-white leading-tight">
                      {advantage.title}
                    </h3>
                  </CardContent>
                </Card>
              </motion.div>
            );
          })}
        </motion.div>
      </div>
    </section>
  );
};

// Service Categories Grid
const TabbedServiceDisplay = () => {
  const navigate = useNavigate();
  const services = [
    {
      title: "Custom ML Model Development",
      icon: Brain,
      description: "Tailored machine learning models designed for your specific business challenges.",
      link: "/services/custom-ml-model-development"
    },
    {
      title: "Predictive Analytics & Forecasting",
      icon: TrendingUp,
      description: "Advanced analytics to predict trends and forecast business outcomes.",
      link: "/services/predictive-analytics-forecasting"
    },
    {
      title: "Computer Vision Applications",
      icon: Eye,
      description: "Visual recognition and analysis solutions for images and video content.",
      link: "/services/computer-vision-applications"
    },
    {
      title: "NLP & Text Analytics",
      icon: MessageSquare,
      description: "Natural language processing for text analysis and understanding.",
      link: "/services/nlp-text-analytics"
    },
    {
      title: "Recommendation Engines",
      icon: Target,
      description: "Intelligent recommendation systems for personalized user experiences.",
      link: "/services/recommendation-engines"
    },
    {
      title: "Time Series Analysis",
      icon: BarChart3,
      description: "Advanced time-based data analysis for trend prediction and forecasting.",
      link: "/services/predictive-analytics-forecasting"
    }
  ];

  return (
    <section className="py-32 bg-background">
      <div className="container mx-auto px-6 lg:px-8">
        <motion.div
          initial={{ opacity: 0, y: 30 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8 }}
          viewport={{ once: true }}
          className="text-left mb-20"
        >
          <h2 className="text-3xl lg:text-4xl font-semibold text-white mb-6">
            Machine Learning Services
          </h2>
          <p className="text-lg text-gray-300 max-w-4xl leading-relaxed">
            Comprehensive machine learning solutions that turn your data into actionable insights, predictive intelligence, and competitive advantage with scalable, AI‑driven ML models.
          </p>
        </motion.div>

        <motion.div
          initial={{ opacity: 0, y: 40 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8, delay: 0.2 }}
          viewport={{ once: true }}
          className="grid md:grid-cols-2 lg:grid-cols-3 gap-8"
        >
          {services.map((service, index) => {
            const IconComponent = service.icon;
            return (
              <motion.div
                key={index}
                initial={{ opacity: 0, y: 20 }}
                whileInView={{ opacity: 1, y: 0 }}
                transition={{ duration: 0.5, delay: index * 0.01 }}
                viewport={{ once: true }}
                whileHover={{ y: -5 }}
                className="group cursor-pointer"
                onClick={() => navigate(service.link)}
              >
                <div className="bg-gray-900/50 backdrop-blur-sm rounded-2xl border border-gray-800 p-8 hover:border-accent/30 transition-all duration-300 shadow-lg hover:shadow-xl h-full">
                  <div className="flex flex-col items-start space-y-6">
                    <div className="w-12 h-12 bg-accent/20 rounded-lg flex items-center justify-center">
                      <IconComponent className="w-6 h-6 text-accent" />
                    </div>

                    <div>
                      <h3 className="text-xl font-semibold text-white mb-4">
                        {service.title}
                      </h3>
                      <p className="text-gray-400 leading-relaxed">
                        {service.description}
                      </p>
                    </div>
                  </div>
                </div>
              </motion.div>
            );
          })}
        </motion.div>
      </div>
    </section>
  );
};

// Updated CTA Section with new design
const InlineCTA = () => {
  const navigate = useNavigate();
  return (
    <section className="py-20 bg-black">
      <div className="container mx-auto px-6 lg:px-8">
        <motion.div
          initial={{ opacity: 0, y: 50 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8 }}
          viewport={{ once: true }}
          className="text-left max-w-4xl mx-auto"
        >
          <motion.div
            initial={{ opacity: 0, y: 30 }}
            whileInView={{ opacity: 1, y: 0 }}
            transition={{ duration: 0.8, delay: 0.2 }}
            viewport={{ once: true }}
            className="space-y-8"
          >
            {/* Ready to Launch Badge */}
            <div className="inline-block">
              <div className="bg-gradient-to-r from-[#E5195E]/20 to-purple-500/20 border border-[#E5195E]/30 rounded-full px-6 py-3">
                <div className="flex items-center gap-2">
                  <Rocket className="w-4 h-4 text-[#E5195E]" />
                  <span className="text-[#E5195E] text-sm font-medium">Ready to Launch?</span>
                </div>
              </div>
            </div>

            {/* Main Heading */}
            <h2 className="text-3xl lg:text-4xl font-semibold leading-tight">
              <span className="text-white">Unlock Data Insights with </span>
              <span className="text-[#E5195E]">Advanced Machine Learning</span>
            </h2>

            {/* Subtitle */}
            <p className="text-xl text-gray-300 leading-relaxed max-w-2xl">
             Transform your data into predictive intelligence that drives smarter business decisions, AI‑driven automation, and measurable competitive advantage.
            </p>

            {/* CTA Button */}
            <div className="flex flex-col items-start gap-4">
              <ShimmerButton
                className="text-xl px-10 py-5 rounded-2xl shadow-lg hover:shadow-xl bg-[#E5195E] hover:bg-[#E5195E]/90"
                // onClick={() => navigate('/contact/schedule-a-discovery-call')}
                onClick={() => navigate("/start-a-project")}
              >
                <div className="inline-flex items-center gap-3">
                  <Brain className="w-6 h-6 flex-shrink-0" />
                  <span>Start Your ML Project</span>
                </div>
              </ShimmerButton>

              {/* Small benefit text */}
              <p className="text-sm text-gray-400">
                Data assessment • Model prototyping • Performance optimization
              </p>
            </div>
          </motion.div>
        </motion.div>
      </div>
    </section>
  );
};

// ML Specialists Section
const HireDevelopersSection = () => {
  const specialists = [
    {
      title: "ML Engineers",
      icon: Brain,
      skills: ["Python", "TensorFlow", "PyTorch", "Scikit-learn"],
      iconBg: "bg-blue-500",
      iconColor: "text-white",
      link: "/hire-talent/full-stack-developers"
    },
    {
      title: "Data Scientists",
      icon: BarChart3,
      skills: ["Statistics", "R", "Python", "Data Visualization"],
      iconBg: "bg-green-500",
      iconColor: "text-white",
      link: "/hire-talent/full-stack-developers"
    },
    {
      title: "AI Researchers",
      icon: Lightbulb,
      skills: ["Deep Learning", "Research", "Algorithm Design"],
      iconBg: "bg-purple-500",
      iconColor: "text-white",
      link: "/hire-talent/full-stack-developers"
    },
    {
      title: "MLOps Engineers",
      icon: Settings,
      skills: ["Model Deployment", "Monitoring", "CI/CD", "Docker"],
      iconBg: "bg-orange-500",
      iconColor: "text-white",
      link: "/hire-talent/full-stack-developers"
    }
  ];

  return (
    <section className="py-32 bg-background">
      <div className="container mx-auto px-6 lg:px-8">
        <motion.div
          initial={{ opacity: 0, y: 30 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8 }}
          viewport={{ once: true }}
          className="text-left mb-20"
        >
          <h2 className="text-3xl lg:text-4xl font-semibold mb-8">
            <span className="text-white">Hire Our </span>
            <span className="text-[#E5195E]">ML Specialists</span>
          </h2>
          <p className="text-xl text-gray-300 max-w-4xl leading-relaxed">
            Get access to expert machine learning professionals who design, build, and deploy predictive models that drive measurable business value and scalable AI‑driven outcomes.
          </p>
        </motion.div>

        <motion.div
          initial={{ opacity: 0, y: 40 }}
          whileInView={{ opacity: 1, y: 0 }}
          transition={{ duration: 0.8, delay: 0.2 }}
          viewport={{ once: true }}
          className="grid md:grid-cols-2 xl:grid-cols-4 gap-8"
        >
          {specialists.map((specialist, index) => {
            const IconComponent = specialist.icon;
            return (
              <motion.div
                key={index}
                initial={{ opacity: 0, y: 20 }}
                whileInView={{ opacity: 1, y: 0 }}
                transition={{ duration: 0.5, delay: index * 0.01 }}
                viewport={{ once: true }}
                whileHover={{ y: -8, scale: 1.02 }}
                className="group cursor-pointer"
              >
                <Card className="bg-card/20 backdrop-blur-md border-white/10 hover:border-accent/30 transition-all duration-300 shadow-lg hover:shadow-xl rounded-2xl overflow-hidden h-full">
                  <CardContent className="p-0 flex flex-col h-full">
                    {/* Header */}
                    <div className="p-8 pb-6">
                      <div className="flex items-start gap-4 mb-6">
                        <div className={`w-12 h-12 ${specialist.iconBg} rounded-xl flex items-center justify-center backdrop-blur-sm`}>
                          <IconComponent className={`w-6 h-6 ${specialist.iconColor}`} />
                        </div>
                        <div className="flex-1">
                          <div className="text-xs text-muted-foreground mb-2 uppercase tracking-wider">
                            Machine Learning
                          </div>
                        </div>
                      </div>

                      <h3 className="text-xl font-semibold text-foreground mb-4 leading-tight">
                        {specialist.title}
                      </h3>
                    </div>

                    {/* Skills */}
                    <div className="px-8 pb-6 flex-1">
                      <div className="flex flex-wrap gap-2">
                        {specialist.skills.map((skill) => (
                          <Badge key={skill} variant="secondary" className="text-xs bg-white/10 text-foreground">
                            {skill}
                          </Badge>
                        ))}
                      </div>
                    </div>

                    {/* CTA */}
                    <div className="p-8 pt-0 mt-auto space-y-3">
                      <ShimmerButton
                        className="w-full py-3 text-sm rounded-xl shadow-lg hover:shadow-xl"
                        // onClick={() => navigate(specialist.link)}
                      >
                        <div className="inline-flex items-center justify-center gap-2">
                          <UserPlus className="w-4 h-4 flex-shrink-0" />
                          <span className="font-medium">Hire Now</span>
                        </div>
                      </ShimmerButton>
                    </div>
                  </CardContent>
                </Card>
              </motion.div>
            );
          })}
        </motion.div>
      </div>
    </section>
  );
};

// FAQ data for Machine Learning
const machineLearningFAQs = [
  {
    question: "What types of machine learning models can you develop?",
    answer: "We develop various machine learning models including supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), reinforcement learning, and deep learning models using frameworks like TensorFlow and PyTorch."
  },
  {
    question: "How do you ensure the accuracy of machine learning models?",
    answer: "We use rigorous validation techniques including cross‑validation, train‑test‑validation splits, A/B testing, and continuous monitoring. We also implement feature engineering, hyperparameter tuning, and ensemble methods to maximize machine learning model accuracy and ensure reliable, production‑grade predictions."
  },
  {
    question: "Can you integrate ML models into our existing systems?",
    answer: "Yes. We specialize in ML model deployment and integration into your existing infrastructure. We can deploy models as REST APIs, batch processing systems, real‑time streaming solutions, or embed them directly into your applications using cloud, on‑premise, or hybrid deployment strategies."
  },
  {
    question: "How do you handle data quality and preprocessing?",
    answer: "We implement comprehensive data pipelines that include data cleaning, normalization, feature engineering, handling missing values, outlier detection, and data validation to ensure your machine learning models work with high‑quality, reliable, and consistent data."
  },
  {
    question: "What is your approach to MLOps and model maintenance?",
    answer: "We follow MLOps best practices including version control for models and data, automated testing, continuous integration and deployment, model monitoring, performance tracking, and automated retraining workflows to ensure models remain accurate, robust, and production‑ready over time."
  }
];

export function MachineLearning() {
  return (
    <div className="dark min-h-screen bg-background">
      {/* <Navigation /> */}
      <HeroWithCTA />
      <HorizontalTagScroller />
      <SideBySideContentWithIcons />
      <TabbedServiceDisplay />
      <ProcessSection />
      <InlineCTA />
      <HireDevelopersSection />
      <FAQSection
        title="Machine Learning Questions"
        subtitle="Get answers to common questions about our machine learning services."
        faqs={machineLearningFAQs}
      />
      {/* <Footer /> */}
    </div>
  );
}