Core Data Processing Capabilities
Multimodal Data Analysis
Documents: Cross-page reconstruction/revision track separation; Images: Handwriting OCR (math symbols/chemical formula recognition); Audio/Video: Speaker separation + scene transition detection
Education Scenario Enhancement
Teaching video knowledge point temporal alignment; Assignment correction mark vectorization storage; Multi-source logical validation of experimental data
Educational Content Atomization
Deep processing of unstructured teaching resources; Handwritten assignment semantic segmentation (question/solution/annotation separation); Classroom audio knowledge point tagging; Textbook illustration knowledge graph semantics
Standardized Output
Structured JSON (OpenAPI compatible); Temporal Markdown
Education Data Processing Validation
Assignment Digitization Project
School processes 5 million paper assignments annually
Solution
Processing workflow: ▸ High-speed scan parsing (200 pages/minute) ▸ Mathematical formula recognition ▸ Annotation mark vectorization
Result
Storage costs reduced by 82% | Processing time reduced by 79%
Knowledge Extraction from Teaching Videos
Processing over 3,000 hours of teaching recordings
Solution
Extraction process: • Multi-language speech-to-text conversion • PowerPoint content detection and extraction • Blackboard writing digitization
Result
6 times faster video analysis | 91% knowledge point accuracy
Experimental Data Verification
Validating 100,000 student lab reports
Solution
Verification process: ▸ Instrument metadata analysis ▸ Data chart feature matching ▸ Text-numerical logic validation
Result
89% anomaly detection rate | 85% reduction in manual verification
Educational Sentiment Analysis
Analyzing 2 million teaching feedback entries daily
Solution
Analysis process: ▸ Multi-platform text aggregation and cleaning ▸ Sentiment polarity analysis (positive/negative) ▸ Semantic network graph generation
Result
<500ms processing latency | 87% hot issue detection rate
