Implement task retry with exponential backoff - #3
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…, file formats P0 - Critical: - CI/CD pipeline with GitHub Actions (api-tests, worker-tests, web-tests, lint, security) - Prometheus metrics and alerts configuration - Basic test infrastructure with pytest P1 - High Priority: - ML-Based Evidence Rules for stealth assessment - Neural evidence predictor with engagement features - Hybrid ML + heuristic evidence scoring - Ensemble predictor for robust mastery estimation P2 - Medium Priority: - Analytics Dashboard API - Engagement heatmaps (weekly, concept-module) - Retention analysis with cohort tracking - Learning curves (individual and percentile) - Mastery distribution and progress tracking - Time series metrics and funnel analysis - Audio Overview Generation Service - ElevenLabs and OpenAI TTS integration - Course/module/concept audio generation - Voice style configuration - Audio caching and chunking - Additional File Formats Processor - DOCX (Microsoft Word) support - PPTX (Microsoft PowerPoint) support - EPUB (eBooks) support - Markdown support - Metadata and image extraction - Automated Prerequisite Detection - Failure pattern analysis - Content reference extraction - Temporal learning pattern detection - Confidence scoring with explanations - ML Citation Extraction - Multi-format citation detection (APA, MLA, IEEE, etc.) - Author/year/DOI extraction - Reference list parsing - Citation deduplication and normalization
…rated learning P3 Features: - Advanced ZPD with multi-dimensional difficulty and frustration detection - A/B Testing framework with feature flags and statistical significance - Personalization settings for learning, UI, notifications, privacy - Quality metrics with readability scores and transcript confidence - Webhook callbacks with retry logic and HMAC signatures P4 Features: - Distributed telemetry collector with batching and aggregation - Federated learning with differential privacy (FedAvg, FedProx)
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