import React from "react";
import { TbExternalLink } from "react-icons/tb";
import { motion } from "framer-motion";

const projects = [
  {
    id: 1,
    title: "Multi-Platform Document Intelligence App",
    status: "In progress",
    description: (
      <>
        Cross-platform client that uploads documents and returns{" "}
        <span className="font-semibold">entity extraction</span>,{" "}
        <span className="font-semibold">concise summaries</span>, and{" "}
        <span className="font-semibold">semantic search</span> using an LLM-backed
        extraction & embedding service. Design includes client-side indexing,
        secure uploads, vector search, and cloud sync for offline-first usage.
      </>
    ),
    tech: [
      "Kotlin Multiplatform",
      "Compose Multiplatform",
      "Ktor",
      "Supabase",
      "Docker",
      "Embeddings / LLM",
    ],
    image: "/assets/project-doc.png",
    link: "#"
  },
  {
    id: 2,
    title: "End-to-End Media Processing Pipeline",
    status: "Prototype",
    description: (
      <>
        Asynchronous processing pipeline for uploaded media: resilient{" "}
        <span className="font-semibold">transcoding</span>,{" "}
        <span className="font-semibold">speech-to-text</span> (Whisper / ASR),
        AI-powered <span className="font-semibold">moderation & summarization</span>,
        and webhook/push notifications. Built for horizontal scale and fault
        tolerance with signed artifact URLs for clients.
      </>
    ),
    tech: [
      "Ktor",
      "FFmpeg",
      "Whisper / ASR",
      "Redis / RabbitMQ",
      "S3 / Supabase",
      "Docker workers",
    ],
    image: "/assets/project-media.png",
    link: "#"
  },
  {
    id: 3,
    title: "Hermetic Reproducible ML Pipelines (MLOps PoC)",
    status: "Prototype",
    description: (
      <>
        Hermetic, reproducible training + serving setup: Dockerized training
        environments, deterministic seeds, dataset versioning, experiment
        tracking with <span className="font-semibold">MLflow</span>, and REST
        inference endpoints for stable model deployment and CI-driven retraining.
      </>
    ),
    tech: [
      "Docker",
      "Python",
      "PyTorch / scikit-learn",
      "MLflow",
      "GitHub Actions",
      "Ktor (inference)",
    ],
    image: "/assets/project-mlops.png",
    link: "#"
  }
];

export default function Projects() {
  return (
    <section
      id="projects"
      className="bg-black px-5 lg:px-28 py-10 lg:py-16 text-white"
      aria-label="Projects"
    >
      <h2 className="text-2xl lg:text-4xl text-center">
        My <span className="font-extrabold">Projects</span>
      </h2>

      <div className="mt-10 lg:mt-16 space-y-12">
        {projects.map((project, index) => (
          <motion.article
            key={project.id}
            className={`flex flex-col items-center gap-8 lg:gap-12 ${
              index % 2 === 0 ? "lg:flex-row" : "lg:flex-row-reverse"
            }`}
            initial={{ opacity: 0, y: 40 }}
            whileInView={{ opacity: 1, y: 0 }}
            transition={{ type: "spring", stiffness: 80, damping: 12, delay: index * 0.15 }}
            viewport={{ once: true }}
          >
            {/* Image */}
            <div className="lg:w-1/2 w-full rounded-2xl overflow-hidden shadow-lg">
              <img
                src={project.image}
                alt={`${project.title} screenshot`}
                className="w-full h-64 lg:h-80 object-cover transform hover:scale-105 transition-transform duration-500"
                loading="lazy"
              />
            </div>

            {/* Content */}
            <div className="lg:w-1/2 w-full">
              <div className="flex items-start justify-between">
                <div>
                  <h3 className="text-3xl lg:text-4xl font-extrabold">
                    {String(project.id).padStart(2, "0")}
                  </h3>
                  <p className="mt-1 text-xl lg:text-2xl font-bold">{project.title}</p>
                </div>

                <div className="text-sm lg:text-base">
                  <span className="inline-block bg-white/10 px-3 py-1 rounded-full text-white/90 text-xs lg:text-sm">
                    {project.status}
                  </span>
                </div>
              </div>

              <p className="mt-4 text-sm lg:text-base text-gray-300 leading-relaxed">
                {project.description}
              </p>

              {/* Tech badges */}
              <div className="mt-4 flex flex-wrap gap-2">
                {project.tech.map((t) => (
                  <span
                    key={t}
                    className="text-xs lg:text-sm bg-white/6 border border-white/8 px-2 py-1 rounded-md text-gray-200"
                  >
                    {t}
                  </span>
                ))}
              </div>

              {/* Links */}
              <div className="mt-4 flex items-center gap-4">
                <a
                  href={project.link}
                  className="inline-flex items-center gap-2 text-white hover:underline"
                  target="_blank"
                  rel="noopener noreferrer"
                  aria-label={`Open ${project.title} link`}
                >
                  <TbExternalLink size={20} />
                  <span className="text-sm lg:text-base">View Repo / Demo</span>
                </a>
              </div>
            </div>
          </motion.article>
        ))}
      </div>
    </section>
  );
}