saya ingin membuat website berbasis aplikasi untuk para komunitas tcg supaya mereka mengetahui harga tcg tersebut hanya dengan memotret nya Ya, tentu saja! Saya bisa bantu kamu buat aplikasi/website untuk komunitas TCG (Trading Card Game) yang bisa scan foto kartu dan tampilkan harga, seri, dll. Ini ide keren banget! Saya sarankan pakai **React Native** (untuk app mobile cross-platform Android/iOS) atau **React.js + Capacitor** (web jadi app). Kita pakai **Google ML Kit** atau **TensorFlow.js** untuk image recognition. ## 🛠️ **Tech Stack yang Direkomendasikan** ``` Frontend: React Native / React.js Image Recognition: Google ML Kit / TensorFlow.js Backend: Node.js + Express / Firebase Database: Firebase Firestore / MongoDB OCR: Tesseract.js / Google Vision API Card Database: Scryfall API (MTG) / TCGPlayer API ``` ## 🚀 **Step-by-Step Implementation** ### 1. **Setup Project React Native** ```bash npx react-native init TCGScanner cd TCGScanner npm install @react-native-ml-kit/image-labeling @react-native-ml-kit/text-recognition react-native-image-picker react-native-vision-camera npm install @react-navigation/native @react-navigation/stack ``` ### 2. **Komponen Utama - Camera Scanner** ```jsx // App.js import React, { useState, useEffect } from 'react'; import { View, Text, Button, StyleSheet, Image } from 'react-native'; import { launchCamera, launchImageLibrary } from 'react-native-image-picker'; import { TextRecognition, ImageLabeling } from '@react-native-ml-kit/text-recognition'; import { VisionCamera } from 'react-native-vision-camera'; const App = () => { const [imageUri, setImageUri] = useState(null); const [cardData, setCardData] = useState(null); const [loading, setLoading] = useState(false); const takePhoto = () => { const options = { mediaType: 'photo', quality: 1, }; launchCamera(options, (response) => { if (response.assets && response.assets[0]) { setImageUri(response.assets[0].uri); scanCard(response.assets[0].uri); } }); }; const scanCard = async (imageUri) => { setLoading(true); try { // 1. OCR untuk baca text (nama kartu, seri) const result = await TextRecognition.recognize(imageUri); const cardName = extractCardName(result.text); // 2. Image recognition untuk identifikasi kartu const labels = await ImageLabeling.labelWithImage(imageUri); // 3. Fetch data dari TCG API const cardInfo = await fetchCardData(cardName, labels); setCardData(cardInfo); } catch (error) { console.error('Scan error:', error); } finally { setLoading(false); } }; return ( TCG Card Scanner {imageUri && }

KartuLens TCG