Initial commit of all files and folders

5 days ago · dc3992a542
--- a/.gitignore
+++ b/.gitignore
@ -0,0 +1,41 @@
 # See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

 # dependencies
 /node_modules
 /.pnp
 .pnp.*
 .yarn/*
 !.yarn/patches
 !.yarn/plugins
 !.yarn/releases
 !.yarn/versions

 # testing
 /coverage

 # next.js
 /.next/
 /out/

 # production
 /build

 # misc
 .DS_Store
 *.pem

 # debug
 npm-debug.log*
 yarn-debug.log*
 yarn-error.log*
 .pnpm-debug.log*

 # env files (can opt-in for committing if needed)
 .env*

 # vercel
 .vercel

 # typescript
 *.tsbuildinfo
 next-env.d.ts
--- a/app/favicon.ico
+++ b/app/favicon.ico
--- a/app/globals.css
+++ b/app/globals.css
@ -0,0 +1,3 @@
@tailwind base;
@tailwind components;
@tailwind utilities;
--- a/app/layout.tsx
+++ b/app/layout.tsx
@ -0,0 +1,34 @@
 import type { Metadata } from "next";
 import { Geist, Geist_Mono } from "next/font/google";
 import "./globals.css";

 const geistSans = Geist({
  variable: "--font-geist-sans",
  subsets: ["latin"],
 });

 const geistMono = Geist_Mono({
  variable: "--font-geist-mono",
  subsets: ["latin"],
 });

 export const metadata: Metadata = {
  title: "Create Next App",
  description: "Generated by create next app",
 };

 export default function RootLayout({
  children,
 }: Readonly<{
  children: React.ReactNode;
 }>) {
  return (
    <html lang="en">
      <body
        className={`${geistSans.variable} ${geistMono.variable} antialiased`}
      >
        {children}
      </body>
    </html>
  );
 }
--- a/app/page.tsx
+++ b/app/page.tsx
@ -0,0 +1,5 @@
 import MainForm from "@/components/MainForm";

 export default function Home() {
  return <MainForm />;
 }
--- a/components/MainForm.css
+++ b/components/MainForm.css
@ -0,0 +1,39 @@
 .main-container {
  font-family: Arial, sans-serif;
  max-width: 800px;
  margin: 0 auto;
  padding: 20px;
 }

 .tabs {
  display: flex;
  border-bottom: 2px solid #007bff;
  margin-bottom: 20px;
 }

 .tab-button {
  flex: 1;
  padding: 12px 20px;
  font-size: 16px;
  color: #007bff;
  background-color: transparent;
  border: none;
  cursor: pointer;
  transition: background-color 0.3s, color 0.3s;
 }

 .tab-button:hover {
  background-color: #f0f0f0;
 }

 .tab-button.active {
  color: #fff;
  background-color: #007bff;
 }

 .tab-content {
  padding: 20px;
  border: 1px solid #ddd;
  border-radius: 8px;
  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
 }
--- a/components/MainForm.tsx
+++ b/components/MainForm.tsx
@ -0,0 +1,34 @@
 "use client";
 import React, { useState } from "react";
 import Register from "./register/Register";
 import Search from "./search/Search";
 import "./MainForm.css"; // Import CSS for styling

 const MainForm: React.FC = () => {
  const [activeTab, setActiveTab] = useState<"register" | "search">("register");

  return (
    <div className="main-container">
      <div className="tabs">
        <button
          className={`tab-button ${activeTab === "register" ? "active" : ""}`}
          onClick={() => setActiveTab("register")}
        >
          Register
        </button>
        <button
          className={`tab-button ${activeTab === "search" ? "active" : ""}`}
          onClick={() => setActiveTab("search")}
        >
          Search
        </button>
      </div>
      <div className="tab-content">
        {activeTab === "register" && <Register />}
        {activeTab === "search" && <Search />}
      </div>
    </div>
  );
 };

 export default MainForm;
--- a/components/register/Register.css
+++ b/components/register/Register.css
@ -0,0 +1,80 @@
 .container {
  display: flex;
  flex-direction: column;
  align-items: center;
  justify-content: center;
  padding: 20px;
  font-family: Arial, sans-serif;
 }

 .title {
  font-size: 24px;
  margin-bottom: 20px;
 }

 .form {
  width: 100%;
  max-width: 500px;
 }

 .form-group {
  margin-bottom: 20px;
 }

 .label {
  display: block;
  font-size: 16px;
  margin-bottom: 8px;
 }

 .input {
  width: 100%;
  padding: 10px;
  font-size: 16px;
  border: 1px solid #ccc;
  border-radius: 4px;
 }

 .video-container {
  margin-bottom: 20px;
 }

 .video {
  transform: scaleX(-1);
  width: 100%;
  max-width: 500px;
  border-radius: 8px;
  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
 }

 .capture-button {
  width: 100%;
  padding: 12px;
  font-size: 16px;
  color: #fff;
  background-color: #007bff;
  border: none;
  border-radius: 4px;
  cursor: pointer;
  margin-top: 4px;
 }

 .capture-button:hover {
  background-color: #0056b3;
 }

 .image-preview {
  margin-top: 20px;
  text-align: center;
 }

 .captured-image {
  max-width: 100%;
  border-radius: 8px;
  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
 }
 .error-message {
  color: red;
  font-size: 14px;
  margin-top: 5px;
 }
--- a/components/register/Register.tsx
+++ b/components/register/Register.tsx
@ -0,0 +1,324 @@
 // "use client";
 // import React, { useRef, useState, useEffect } from "react";
 // import "./Register.css"; // Import CSS for styling

 // const Register: React.FC = () => {
 //   const videoRef = useRef<HTMLVideoElement>(null);
 //   const canvasRef = useRef<HTMLCanvasElement>(null);
 //   const [name, setName] = useState<string>("");
 //   const [error, setError] = useState<string>(""); // State for error message

 //   // Automatically open the camera when the component mounts
 //   useEffect(() => {
 //     const openCamera = async () => {
 //       try {
 //         const stream = await navigator.mediaDevices.getUserMedia({
 //           video: true,
 //         });
 //         if (videoRef.current) {
 //           videoRef.current.srcObject = stream;
 //         }
 //       } catch (err) {
 //         console.error("Error accessing the camera", err);
 //       }
 //     };

 //     openCamera();
 //   }, []);

 //   // Capture image from video stream
 //   const captureImage = () => {
 //     if (!name.trim()) {
 //       setError("Name is required"); // Set error message if name is empty
 //       return;
 //     }

 //     const video = videoRef.current;
 //     const canvas = canvasRef.current;

 //     if (video && canvas) {
 //       const context = canvas.getContext("2d");
 //       if (context) {
 //         // Draw the current frame from the video on the canvas
 //         context.drawImage(video, 0, 0, canvas.width, canvas.height);
 //         canvas.toBlob((blob) => {
 //           if (blob) {
 //             const file = new File([blob], "captured-image.png", {
 //               type: "image/png",
 //             });
 //             callApi(name, file);
 //           }
 //         }, "image/png");
 //       }
 //     }
 //   };

 //   // Call API with name and image file
 //   const callApi = async (name: string, file: File) => {
 //     const formData = new FormData();
 //     formData.append("name", name);
 //     formData.append("image", file);

 //     try {
 //       const startTime = performance.now();
 //       const response = await fetch(
 //         `${process.env.NEXT_PUBLIC_BASE_URL}/register`,
 //         {
 //           method: "POST",
 //           body: formData,
 //         }
 //       );

 //       // End measuring time
 //       const endTime = performance.now();
 //       const totalTime = (endTime - startTime) / 1000; // Convert milliseconds to seconds

 //       if (response.ok) {
 //         const data = await response.json();
 //         console.log("API call successful");
 //         alert(
 //           `Message: ${data.message}\nName: ${
 //             data?.name
 //           }\nTime taken: ${totalTime.toFixed(2)} seconds`
 //         ); // Show success message with time taken
 //         setError(""); // Clear error message on success
 //       } else {
 //         console.error("API call failed");
 //         setError("Failed to register. Please try again."); // Set error message on failure
 //       }
 //     } catch (error) {
 //       console.error("Error calling API", error);
 //       setError("An error occurred. Please try again."); // Set error message on exception
 //     }
 //   };

 //   return (
 //     <div className="container">
 //       <h1 className="title">Face Capture Form</h1>
 //       <form className="form">
 //         <div className="form-group">
 //           <label htmlFor="name" className="label">
 //             Name:
 //           </label>
 //           <input
 //             id="name"
 //             type="text"
 //             value={name}
 //             onChange={(e) => {
 //               setName(e.target.value);
 //               setError(""); // Clear error message when user starts typing
 //             }}
 //             className="input"
 //             placeholder="Enter your name"
 //             required
 //           />
 //           {error && !name.trim() && (
 //             <p className="error-message">{error}</p> // Display error message if name is empty
 //           )}
 //         </div>
 //         <div className="video-container">
 //           <video ref={videoRef} autoPlay playsInline className="video" />
 //         </div>
 //         <button type="button" onClick={captureImage} className="capture-button">
 //           Capture Image
 //         </button>
 //         <canvas
 //           ref={canvasRef}
 //           style={{ display: "none" }}
 //           width="640"
 //           height="480"
 //         />
 //       </form>
 //     </div>
 //   );
 // };

 // export default Register;


 "use client";
 import React, { useRef, useState, useEffect } from "react";
 import "./Register.css"; // Import CSS for styling

 const Register: React.FC = () => {
  const videoRef = useRef<HTMLVideoElement>(null);
  const canvasRef = useRef<HTMLCanvasElement>(null);
  const [name, setName] = useState<string>("");
  const [error, setError] = useState<string>(""); // State for error message
  const [selectedFile, setSelectedFile] = useState<File | null>(null); // State for uploaded image

  // Automatically open the camera when the component mounts
  useEffect(() => {
    const openCamera = async () => {
      try {
        const stream = await navigator.mediaDevices.getUserMedia({
          video: true,
        });
        if (videoRef.current) {
          videoRef.current.srcObject = stream;
        }
      } catch (err) {
        console.error("Error accessing the camera", err);
      }
    };

    openCamera();
  }, []);

  // Capture image from video stream
  const captureImage = () => {
    if (!name.trim()) {
      setError("Name is required"); // Set error message if name is empty
      return;
    }

    const video = videoRef.current;
    const canvas = canvasRef.current;

    if (video && canvas) {
      const context = canvas.getContext("2d");
      if (context) {
        // Draw the current frame from the video on the canvas
        context.drawImage(video, 0, 0, canvas.width, canvas.height);
        canvas.toBlob((blob) => {
          if (blob) {
            const file = new File([blob], "captured-image.png", {
              type: "image/png",
            });
            callApi(name, file);
          }
        }, "image/png");
      }
    }
  };

  // Handle file upload
  const handleFileUpload = (event: React.ChangeEvent<HTMLInputElement>) => {
    const file = event.target.files?.[0] || null;
    setSelectedFile(file);
  };

  // Submit uploaded file
  const submitUploadedFile = () => {
    if (!name.trim()) {
      setError("Name is required");
      return;
    }

    if (!selectedFile) {
      setError("Please upload an image file.");
      return;
    }

    callApi(name, selectedFile);
  };

  // Call API with name and image file
  const callApi = async (name: string, file: File) => {
    const formData = new FormData();
    formData.append("name", name);
    formData.append("image", file);

    try {
      const startTime = performance.now();
      const response = await fetch(
        `${process.env.NEXT_PUBLIC_BASE_URL}/register`,
        {
          method: "POST",
          body: formData,
        }
      );

      // End measuring time
      const endTime = performance.now();
      const totalTime = (endTime - startTime) / 1000; // Convert milliseconds to seconds

      if (response.ok) {
        const data = await response.json();
        console.log("API call successful");
        alert(
          `Message: ${data.message}\nName: ${data?.name}\nTime taken: ${totalTime.toFixed(2)} seconds`
        ); // Show success message with time taken
        setError(""); // Clear error message on success
      } else {
        console.error("API call failed");
        setError("Failed to register. Please try again."); // Set error message on failure
      }
    } catch (error) {
      console.error("Error calling API", error);
      setError("An error occurred. Please try again."); // Set error message on exception
    }
  };

  return (
    <div className="container">
      <h1 className="title">Face Capture & Upload Form</h1>
      <form className="form">
        <div className="form-group">
          <label htmlFor="name" className="label">
            Name:
          </label>
          <input
            id="name"
            type="text"
            value={name}
            onChange={(e) => {
              setName(e.target.value);
              setError(""); // Clearing error message when user starts typing
            }}
            className="input"
            placeholder="Enter your name"
            required
          />
          {error && !name.trim() && (
            <p className="error-message">{error}</p> // Displaying error message if name is empty
          )}
        </div>

        <div className="video-container">
          <video ref={videoRef} autoPlay playsInline className="video" />
          <button
            type="button"
            onClick={captureImage}
            className="capture-button"
          >
            Capture Image
          </button>
        </div>
        <div>Or</div>

        <div className="file-upload-container">
          <label htmlFor="file-upload" className="label">
            Upload Image:
          </label>
          <input
            id="file-upload"
            type="file"
            accept="image/*"
            onChange={handleFileUpload}
            className="file-input"
          />
          <button
            type="button"
            onClick={submitUploadedFile}
            // className="upload-button"
            className="capture-button"
          >
            Submit Uploaded Image
          </button>
        </div>

        <canvas
          ref={canvasRef}
          style={{ display: "none" }}
          width="640"
          height="480"
        />

        {error && <p className="error-message">{error}</p>}
      </form>
    </div>
  );
 };

 export default Register;
--- a/components/search/Search.css
+++ b/components/search/Search.css
@ -0,0 +1,48 @@
 .search-container {
  display: flex;
  flex-direction: column;
  align-items: center;
  justify-content: center;
  padding: 20px;
  font-family: Arial, sans-serif;
 }

 .video-container {
  margin-bottom: 20px;
 }

 .video {
  width: 100%;
  max-width: 500px;
  border-radius: 8px;
  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
 }

 .capture-button {
  padding: 12px 20px;
  font-size: 16px;
  color: #fff;
  background-color: #007bff;
  border: none;
  border-radius: 4px;
  cursor: pointer;
  transition: background-color 0.3s;
 }

 .capture-button:hover {
  background-color: #0056b3;
 }

 .image-preview {
  margin-top: 20px;
  text-align: center;
 }

 .captured-image {
  max-width: 100%;
  border-radius: 8px;
  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
 }
 .upload-container{
  margin-top: 12px;
 }
--- a/components/search/Search.tsx
+++ b/components/search/Search.tsx
@ -0,0 +1,223 @@
 // import React, { useRef, useEffect } from "react";
 // import "./Search.css"; // Import CSS for styling

 // const Search: React.FC = () => {
 //   const videoRef = useRef<HTMLVideoElement>(null);
 //   const canvasRef = useRef<HTMLCanvasElement>(null);

 //   // Automatically open the camera when the component mounts
 //   useEffect(() => {
 //     const openCamera = async () => {
 //       try {
 //         const stream = await navigator.mediaDevices.getUserMedia({
 //           video: true,
 //         });
 //         if (videoRef.current) {
 //           videoRef.current.srcObject = stream;
 //         }
 //       } catch (err) {
 //         console.error("Error accessing the camera", err);
 //       }
 //     };

 //     openCamera();
 //   }, []);

 //   // Capture image from video stream
 //   const captureImage = () => {
 //     const video = videoRef.current;
 //     const canvas = canvasRef.current;

 //     if (video && canvas) {
 //       const context = canvas.getContext("2d");
 //       if (context) {
 //         context.drawImage(video, 0, 0, canvas.width, canvas.height);
 //         canvas.toBlob((blob) => {
 //           if (blob) {
 //             const file = new File([blob], "captured-image.png", {
 //               type: "image/png",
 //             });
 //             callApi(file);
 //           }
 //         }, "image/png");
 //       }
 //     }
 //   };

 //   // Call API with the captured image file
 //   const callApi = async (file: File) => {
 //     const formData = new FormData();
 //     formData.append("image", file); // Append the file to the form data

 //     try {
 //       const startTime = performance.now();
 //       const response = await fetch(
 //         `${process.env.NEXT_PUBLIC_BASE_URL}/search`,
 //         {
 //           method: "POST",
 //           body: formData, // Send the form data
 //         }
 //       );
 //       // End measuring time
 //       const endTime = performance.now();
 //       const totalTime = (endTime - startTime) / 1000;
 //       if (response.ok) {
 //         const data = await response.json();
 //         console.log("API call successful", data);
 //         alert(
 //           `Search result: ${data.message}\nName: ${
 //             data?.name
 //           }\nTime taken: ${totalTime.toFixed(2)} seconds`
 //         );
 //       } else {
 //         console.error("API call failed");
 //       }
 //     } catch (error) {
 //       console.error("Error calling API", error);
 //     }
 //   };

 //   return (
 //     <div className="search-container">
 //       <h2>Search</h2>
 //       <div className="video-container">
 //         <video ref={videoRef} autoPlay playsInline className="video" />
 //       </div>
 //       <button type="button" onClick={captureImage} className="capture-button">
 //         Capture Image
 //       </button>
 //       <canvas
 //         ref={canvasRef}
 //         style={{ display: "none" }}
 //         width="640"
 //         height="480"
 //       />
 //     </div>
 //   );
 // };

 // export default Search;


 import React, { useRef, useEffect, useState } from "react";
 import "./Search.css"; // Import CSS for styling

 const Search: React.FC = () => {
  const videoRef = useRef<HTMLVideoElement>(null);
  const canvasRef = useRef<HTMLCanvasElement>(null);
  const [uploadedFile, setUploadedFile] = useState<File | null>(null);

  // Automatically opennig the camera when the component mounts
  useEffect(() => {
    const openCamera = async () => {
      try {
        const stream = await navigator.mediaDevices.getUserMedia({
          video: true,
        });
        if (videoRef.current) {
          videoRef.current.srcObject = stream;
        }
      } catch (err) {
        console.error("Error accessing the camera", err);
      }
    };

    openCamera();
  }, []);

  // Capturing image from video stream
  const captureImage = () => {
    const video = videoRef.current;
    const canvas = canvasRef.current;

    if (video && canvas) {
      const context = canvas.getContext("2d");
      if (context) {
        context.drawImage(video, 0, 0, canvas.width, canvas.height);
        canvas.toBlob((blob) => {
          if (blob) {
            const file = new File([blob], "captured-image.png", {
              type: "image/png",
            });
            callApi(file);
          }
        }, "image/png");
      }
    }
  };
  // Handling image upload
  const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
    const file = event.target.files?.[0];
    if (file) {
      setUploadedFile(file); // Storing the uploaded file in state
      callApi(file); // Calling the API with the uploaded file
    }
  };

  // Calling API with the provided image file
  const callApi = async (file: File) => {
    const formData = new FormData();
    formData.append("image", file); // Appending the file to the form data

    try {
      const startTime = performance.now();
      const response = await fetch(
        `${process.env.NEXT_PUBLIC_BASE_URL}/search`,
        {
          method: "POST",
          body: formData, // Sending the form data
        }
      );
      // Ending measuring time
      const endTime = performance.now();
      const totalTime = (endTime - startTime) / 1000;
      if (response.ok) {
        const data = await response.json();
        console.log("API call successful", data);
        alert(
          `Search result: ${data.message}\nName: ${
            data?.name
          }\nTime taken: ${totalTime.toFixed(2)} seconds`
        );
      } else {
        console.error("API call failed");
      }
    } catch (error) {
      console.error("Error calling API", error);
    }
  };

  return (
    <div className="search-container">
      <h2>Search</h2>
      <div className="video-container">
        <video ref={videoRef} autoPlay playsInline className="video" />
      </div>
      <button type="button" onClick={captureImage} className="capture-button">
        Capture Image
      </button>
      <div>Or</div>
      <div className="upload-container">
        <label htmlFor="upload" className="upload-label">
          Upload Image
        </label>
        <input
          type="file"
          id="upload"
          accept="image/*"
          onChange={handleFileChange}
          className="upload-input"
        />
      </div>
      <canvas
        ref={canvasRef}
        style={{ display: "none" }}
        width="640"
        height="480"
      />
    </div>
  );
 };


 export default Search;
--- a/eslint.config.mjs
+++ b/eslint.config.mjs
@ -0,0 +1,16 @@
 import { dirname } from "path";
 import { fileURLToPath } from "url";
 import { FlatCompat } from "@eslint/eslintrc";

 const __filename = fileURLToPath(import.meta.url);
 const __dirname = dirname(__filename);

 const compat = new FlatCompat({
  baseDirectory: __dirname,
 });

 const eslintConfig = [
  ...compat.extends("next/core-web-vitals", "next/typescript"),
 ];

 export default eslintConfig;
--- a/+ 1
+++ b/+ 1
@ -0,0 +1 @@
 Subproject commit 300e624454be86585500a57bd54a1e0cb28b7a94
--- a/next.config.ts
+++ b/next.config.ts
@ -0,0 +1,7 @@
 import type { NextConfig } from "next";

 const nextConfig: NextConfig = {
  /* config options here */
 };

 export default nextConfig;
--- a/package-lock.json
+++ b/package-lock.json
--- a/package.json
+++ b/package.json
@ -0,0 +1,27 @@
 {
  "name": "face_recognition_model_web",
  "version": "0.1.0",
  "private": true,
  "scripts": {
    "dev": "next dev",
    "build": "next build",
    "start": "next start",
    "lint": "next lint"
  },
  "dependencies": {
    "react": "^19.0.0",
    "react-dom": "^19.0.0",
    "next": "15.1.6"
  },
  "devDependencies": {
    "typescript": "^5",
    "@types/node": "^20",
    "@types/react": "^19",
    "@types/react-dom": "^19",
    "postcss": "^8",
    "tailwindcss": "^3.4.1",
    "eslint": "^9",
    "eslint-config-next": "15.1.6",
    "@eslint/eslintrc": "^3"
  }
 }
--- a/postcss.config.mjs
+++ b/postcss.config.mjs
@ -0,0 +1,8 @@
 /** @type {import('postcss-load-config').Config} */
 const config = {
  plugins: {
    tailwindcss: {},
  },
 };

 export default config;
--- a/public/file.svg
+++ b/public/file.svg
@ -0,0 +1 @@
 <svg fill="none" viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg"><path d="M14.5 13.5V5.41a1 1 0 0 0-.3-.7L9.8.29A1 1 0 0 0 9.08 0H1.5v13.5A2.5 2.5 0 0 0 4 16h8a2.5 2.5 0 0 0 2.5-2.5m-1.5 0v-7H8v-5H3v12a1 1 0 0 0 1 1h8a1 1 0 0 0 1-1M9.5 5V2.12L12.38 5zM5.13 5h-.62v1.25h2.12V5zm-.62 3h7.12v1.25H4.5zm.62 3h-.62v1.25h7.12V11z" clip-rule="evenodd" fill="#666" fill-rule="evenodd"/></svg>
--- a/public/globe.svg
+++ b/public/globe.svg
@ -0,0 +1 @@
 <svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><g clip-path="url(#a)"><path fill-rule="evenodd" clip-rule="evenodd" d="M10.27 14.1a6.5 6.5 0 0 0 3.67-3.45q-1.24.21-2.7.34-.31 1.83-.97 3.1M8 16A8 8 0 1 0 8 0a8 8 0 0 0 0 16m.48-1.52a7 7 0 0 1-.96 0H7.5a4 4 0 0 1-.84-1.32q-.38-.89-.63-2.08a40 40 0 0 0 3.92 0q-.25 1.2-.63 2.08a4 4 0 0 1-.84 1.31zm2.94-4.76q1.66-.15 2.95-.43a7 7 0 0 0 0-2.58q-1.3-.27-2.95-.43a18 18 0 0 1 0 3.44m-1.27-3.54a17 17 0 0 1 0 3.64 39 39 0 0 1-4.3 0 17 17 0 0 1 0-3.64 39 39 0 0 1 4.3 0m1.1-1.17q1.45.13 2.69.34a6.5 6.5 0 0 0-3.67-3.44q.65 1.26.98 3.1M8.48 1.5l.01.02q.41.37.84 1.31.38.89.63 2.08a40 40 0 0 0-3.92 0q.25-1.2.63-2.08a4 4 0 0 1 .85-1.32 7 7 0 0 1 .96 0m-2.75.4a6.5 6.5 0 0 0-3.67 3.44 29 29 0 0 1 2.7-.34q.31-1.83.97-3.1M4.58 6.28q-1.66.16-2.95.43a7 7 0 0 0 0 2.58q1.3.27 2.95.43a18 18 0 0 1 0-3.44m.17 4.71q-1.45-.12-2.69-.34a6.5 6.5 0 0 0 3.67 3.44q-.65-1.27-.98-3.1" fill="#666"/></g><defs><clipPath id="a"><path fill="#fff" d="M0 0h16v16H0z"/></clipPath></defs></svg>
--- a/public/next.svg
+++ b/public/next.svg
@ -0,0 +1 @@
 <svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 394 80"><path fill="#000" d="M262 0h68.5v12.7h-27.2v66.6h-13.6V12.7H262V0ZM149 0v12.7H94v20.4h44.3v12.6H94v21h55v12.6H80.5V0h68.7zm34.3 0h-17.8l63.8 79.4h17.9l-32-39.7 32-39.6h-17.9l-23 28.6-23-28.6zm18.3 56.7-9-11-27.1 33.7h17.8l18.3-22.7z"/><path fill="#000" d="M81 79.3 17 0H0v79.3h13.6V17l50.2 62.3H81Zm252.6-.4c-1 0-1.8-.4-2.5-1s-1.1-1.6-1.1-2.6.3-1.8 1-2.5 1.6-1 2.6-1 1.8.3 2.5 1a3.4 3.4 0 0 1 .6 4.3 3.7 3.7 0 0 1-3 1.8zm23.2-33.5h6v23.3c0 2.1-.4 4-1.3 5.5a9.1 9.1 0 0 1-3.8 3.5c-1.6.8-3.5 1.3-5.7 1.3-2 0-3.7-.4-5.3-1s-2.8-1.8-3.7-3.2c-.9-1.3-1.4-3-1.4-5h6c.1.8.3 1.6.7 2.2s1 1.2 1.6 1.5c.7.4 1.5.5 2.4.5 1 0 1.8-.2 2.4-.6a4 4 0 0 0 1.6-1.8c.3-.8.5-1.8.5-3V45.5zm30.9 9.1a4.4 4.4 0 0 0-2-3.3 7.5 7.5 0 0 0-4.3-1.1c-1.3 0-2.4.2-3.3.5-.9.4-1.6 1-2 1.6a3.5 3.5 0 0 0-.3 4c.3.5.7.9 1.3 1.2l1.8 1 2 .5 3.2.8c1.3.3 2.5.7 3.7 1.2a13 13 0 0 1 3.2 1.8 8.1 8.1 0 0 1 3 6.5c0 2-.5 3.7-1.5 5.1a10 10 0 0 1-4.4 3.5c-1.8.8-4.1 1.2-6.8 1.2-2.6 0-4.9-.4-6.8-1.2-2-.8-3.4-2-4.5-3.5a10 10 0 0 1-1.7-5.6h6a5 5 0 0 0 3.5 4.6c1 .4 2.2.6 3.4.6 1.3 0 2.5-.2 3.5-.6 1-.4 1.8-1 2.4-1.7a4 4 0 0 0 .8-2.4c0-.9-.2-1.6-.7-2.2a11 11 0 0 0-2.1-1.4l-3.2-1-3.8-1c-2.8-.7-5-1.7-6.6-3.2a7.2 7.2 0 0 1-2.4-5.7 8 8 0 0 1 1.7-5 10 10 0 0 1 4.3-3.5c2-.8 4-1.2 6.4-1.2 2.3 0 4.4.4 6.2 1.2 1.8.8 3.2 2 4.3 3.4 1 1.4 1.5 3 1.5 5h-5.8z"/></svg>
--- a/public/vercel.svg
+++ b/public/vercel.svg
@ -0,0 +1 @@
 <svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1155 1000"><path d="m577.3 0 577.4 1000H0z" fill="#fff"/></svg>
--- a/public/window.svg
+++ b/public/window.svg
@ -0,0 +1 @@
 <svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.5 2.5h13v10a1 1 0 0 1-1 1h-11a1 1 0 0 1-1-1zM0 1h16v11.5a2.5 2.5 0 0 1-2.5 2.5h-11A2.5 2.5 0 0 1 0 12.5zm3.75 4.5a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5M7 4.75a.75.75 0 1 1-1.5 0 .75.75 0 0 1 1.5 0m1.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5" fill="#666"/></svg>
--- a/tailwind.config.ts
+++ b/tailwind.config.ts
@ -0,0 +1,18 @@
 import type { Config } from "tailwindcss";

 export default {
  content: [
    "./pages/**/*.{js,ts,jsx,tsx,mdx}",
    "./components/**/*.{js,ts,jsx,tsx,mdx}",
    "./app/**/*.{js,ts,jsx,tsx,mdx}",
  ],
  theme: {
    extend: {
      colors: {
        background: "var(--background)",
        foreground: "var(--foreground)",
      },
    },
  },
  plugins: [],
 } satisfies Config;
--- a/tsconfig.json
+++ b/tsconfig.json
@ -0,0 +1,27 @@
 {
  "compilerOptions": {
    "target": "ES2017",
    "lib": ["dom", "dom.iterable", "esnext"],
    "allowJs": true,
    "skipLibCheck": true,
    "strict": true,
    "noEmit": true,
    "esModuleInterop": true,
    "module": "esnext",
    "moduleResolution": "bundler",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "jsx": "preserve",
    "incremental": true,
    "plugins": [
      {
        "name": "next"
      }
    ],
    "paths": {
      "@/*": ["./*"]
    }
  },
  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
  "exclude": ["node_modules"]
 }