class RAGTutorEngine: def __init__(self, books_db, openai_key, google_key): self.books_db = books_db self.openai_client = OpenAI(api_key=openai_key) self.gemini_client = genai.configure(api_key=google_key) self.user_level_tracker = UserLevelTracker() def generate_personalized_lesson(self, user_id, topic): # ユーザーレベル取得 user_level = self.user_level_tracker.get_level(user_id) # 関連書籍情報をRAGで検索 relevant_books = self.books_db.search_by_topic_and_level( topic=topic, user_level=user_level ) # AIに個別レッスン生成を依頼 lesson_content = self.generate_lesson_with_ai( topic=topic, book_references=relevant_books, user_level=user_level, api=”gemini” # 日常レッスンはGemini使用 ) return { “lesson”: lesson_content, “references”: relevant_books, “level”: user_level, “next_steps”: self.suggest_next_steps(user_id, topic) } def correct_essay(self, user_id, essay_text): # 小論文添削はChatGPT使用（高精度） user_history = self.get_user_writing_history(user_id) correction = self.openai_client.chat.completions.create( model=”gpt-4″, messages=[ {“role”: “system”, “content”: self.get_correction_prompt()}, {“role”: “user”, “content”: f”添削対象: {essay_text}\n過去履歴: {user_history}”} ] ) return { “corrected_text”: correction.choices[0].message.content, “improvement_points”: self.extract_improvement_points(correction), “next_practice”: self.suggest_practice(user_id, correction) }

class AdaptiveQuizSystem: def __init__(self, rag_engine): self.rag_engine = rag_engine self.difficulty_adjuster = DifficultyAdjuster() def generate_quiz(self, user_id, topic_category): user_progress = self.get_user_progress(user_id) # Phase判定 if user_progress.phase == 1: return self.generate_kpop_style_quiz(topic_category) elif user_progress.phase == 2: return self.generate_analysis_quiz(topic_category) else: return self.generate_sfc_style_quiz(topic_category) def generate_kpop_style_quiz(self, topic): # K-POP風の楽しいクイズ生成 quiz_data = { “question”: “NewJeansが世界で人気な理由で最も重要なのは？”, “options”: [ “Y2Kコンセプトの新しさ”, “メンバーの個性”, “音楽的完成度”, “マーケティング戦略” ], “correct_answer”: 0, “explanation_with_books”: self.get_book_based_explanation(topic), “next_level_hint”: “この現象を社会学的に分析してみよう！” } return quiz_data def process_answer(self, user_id, quiz_id, answer, user_input_text=””): # 回答処理 + 段階的文字数誘導 result = self.check_answer(quiz_id, answer) # 文字数誘導ロジック progress = self.get_user_progress(user_id) if progress.week <= 2: input_prompt = "感想があれば一言でも♪" elif progress.week <= 8: input_prompt = "理由を50字程度で教えて♪" else: input_prompt = "あなたの分析を200字で聞かせて♪" return { "is_correct": result["correct"], "explanation": result["explanation"], "book_references": result["references"], "input_prompt": input_prompt, "character_response": self.generate_character_response(user_id, result) }

class VoiceTextInputSystem: def __init__(self, speech_recognition_api): self.speech_api = speech_recognition_api self.text_analyzer = TextAnalyzer() def process_voice_input(self, audio_data, user_id): # 音声をテキストに変換 transcribed_text = self.speech_api.transcribe(audio_data) # テキスト分析 analysis = self.text_analyzer.analyze(transcribed_text) # AI応答生成（Geminiで高速応答） response = self.generate_ai_response(user_id, transcribed_text, analysis) return { “transcribed_text”: transcribed_text, “analysis”: analysis, “ai_response”: response, “encouragement”: self.generate_encouragement(user_id, analysis), “next_suggestion”: self.suggest_next_input(user_id, analysis) } def generate_encouragement(self, user_id, text_analysis): # 苺花専用の励ましメッセージ生成 user_profile = self.get_user_profile(user_id) encouragement_prompts = { “beginner”: “すごいね！考えがまとまってきてる♪”, “intermediate”: “さすが苺花！分析力が上がってる！”, “advanced”: “その視点、SFC生みたい！素晴らしい♪” } return encouragement_prompts.get(user_profile.level, “いいね♪”) # フロントエンド JavaScript class VoiceRecorder { constructor() { this.mediaRecorder = null; this.audioChunks = []; } async startRecording() { const stream = await navigator.mediaDevices.getUserMedia({ audio: true }); this.mediaRecorder = new MediaRecorder(stream); this.mediaRecorder.ondataavailable = (event) => { this.audioChunks.push(event.data); }; this.mediaRecorder.onstop = () => { const audioBlob = new Blob(this.audioChunks, { type: ‘audio/wav’ }); this.sendToServer(audioBlob); }; this.mediaRecorder.start(); this.showRecordingUI(); } stopRecording() { this.mediaRecorder.stop(); this.hideRecordingUI(); } }