AI-Sonar-Inferenz getriebene GCE O-Level-Mathematik-Thema-Analyse und Prognose

• •Slack Bot Token oder Webhook URL
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich

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        "url": "https://www.seab.gov.sg/docs/default-source/national-examinations/syllabus/olevel/2025syllabus/4048_y25_sy.pdf",
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              "value": "=Algebra (equations, inequalities, functions), Geometry (congruence, similarity, circle theorems), Trigonometry (ratios, identities, graphs), Statistics (data analysis, probability), Number patterns (sequences, series), Mensuration (area, volume, surface area), Coordinate geometry (gradients, equations of lines), Vectors (operations, applications), Matrices (operations, transformations), Sets (Venn diagrams, operations)"
            },
            {
              "id": "b2",
              "name": "challenging_areas",
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      "parameters": {
        "title": "=GCE O-Level Math Predictions {{ $('Prepare Analysis Data').item.json.analysis_year }}",
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        "text": "=🎓 *GCE O-Level Mathematics Exam Analysis {{ $('Prepare Analysis Data').item.json.analysis_year }} - Now Available!*\n\n📊 *Key Highlights:*\n• Top 10 recurring topics identified\n• 5 challenging areas with success tips\n• Topic weightage breakdown\n• 5 predicted question types with confidence scores\n\n📝 *Top 3 Predicted Topics:*\n{{ $('Parse AI Output').item.json.predicted_questions.slice(0, 3).map((p, i) => `${i + 1}. ${p.topic_combination} (${p.confidence_score}% confidence)`).join('\\n') }}\n\n🔗 Full report published to WordPress\n\n_Analysis based on 2025 syllabus and historical exam patterns_",
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          "id": "fKnn6LL7cRFqNHDX",
          "name": "OpenRouter account2"
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        "content": "## **Introduction**\nExams create significant stress for students. This workflow automates syllabus analysis and predicts exam trends using AI, helping educators and students better prepare for GCE 'O' Level Mathematics in Singapore.\n\n## **How It Works**\nTrigger → Fetch Syllabus → Extract & Prepare Data → Load History → AI Analyze → Parse → Format → Convert → Publish → Notify\n\n## **Workflow Template**\nManual Trigger → Fetch O-Level Math Syllabus → Extract Syllabus Text → Prepare Analysis Data → Load Historical Context → AI Analysis Agent → Parse AI Output → Format Report → Convert to HTML → Publish to WordPress → Send Slack Summary\n\n## **Data Collection & AI Processing**\nHTTP retrieves O-Level Math syllabus from SEAB and extracts text. Loads 3-5 years exam history. OpenRouter compares syllabus vs trends, predicts topics with confidence scores.\n\n## **Report Generation & Publishing**\nFormats AI insights to Markdown (topics, trends, recommendations), converts to HTML. Auto-publishes to WordPress and sends Slack summary with report link.\n\n\n"
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        "content": "## **Workflow Steps**\n1. Fetch & extract syllabus from SEAB site\n2. Load historical exam content\n3. AI analyzes syllabus + trends via OpenRouter model\n4. Parse and format AI output to Markdown/HTML\n5. Auto-publish report to WordPress and Slack\n\n## **Setup Instructions**\n1. Connect HTTP node to SEAB syllabus URL\n2. Configure OpenRouter AI model with API key\n3. Set WordPress and Slack credentials for publishing\n\n## **Prerequisites**\nOpenRouter account, WordPress API access, Slack webhook, SEAB syllabus link.\n\n## **Use Cases**\nPredict 2025 GCE Math topics, generate AI insights, publish summaries for educators.\n\n## **Customization**\nAdapt for other subjects or boards by changing syllabus source and analysis prompt.\n\n## **Benefits**\nEnables fast, data-driven exam forecasting and automated report publication."
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