Bi-Ma-GOoOD/ComSciCurriculumProject
Feb 2025 – Mar 2025
2 Months active
Languages Used
PythonDjangoMinioYAML
Technical Skills
Backend DevelopmentData ExtractionOCRPDF ProcessingUnit TestingAPI Development
Moradop Hengprasert
PROFILE
Moradop Hengprasert
Over two months, Morad Op built and enhanced OCR-driven data extraction features for the Bi-Ma-GOoOD/ComSciCurriculumProject repository, focusing on automating PDF transcript and receipt processing. Using Python, Django, and MinIO, Morad developed backend services that extract and validate course, enrollment, and student information directly from uploaded documents, reducing manual data entry and improving data accuracy. The work included robust file upload APIs with cloud storage integration, comprehensive validation logic, and end-to-end test coverage. Morad’s contributions demonstrated depth in backend development, data processing, and DevOps, delivering scalable workflows that prepare the project for future system integrations and compliance needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
5
Lines of code
938
Activity Months2
Your Network
7 people
Work History
March 2025
14 Commits • 4 Features
Mar 1, 2025March 2025 performance summary for Bi-Ma-GOoOD/ComSciCurriculumProject. Key feature deliveries include OCR-driven enrollment extraction and Enrollment object creation with robust validation (semester/year/grades), OCR pipelines for receipts and student information (including English-name handling and latest year/semester extraction), and Activity Transcript status verification. Also launched a File Upload API with MinIO-backed storage, enhanced validation, and reliable download flows. These efforts reduce manual data entry, improve data integrity, enable OCR-to-enrollment workflows, and strengthen storage/compliance capabilities.
14 Commits • 4 Features
Mar 1, 2025March 2025 performance summary for Bi-Ma-GOoOD/ComSciCurriculumProject. Key feature deliveries include OCR-driven enrollment extraction and Enrollment object creation with robust validation (semester/year/grades), OCR pipelines for receipts and student information (including English-name handling and latest year/semester extraction), and Activity Transcript status verification. Also launched a File Upload API with MinIO-backed storage, enhanced validation, and reliable download flows. These efforts reduce manual data entry, improve data integrity, enable OCR-to-enrollment workflows, and strengthen storage/compliance capabilities.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Bi-Ma-GOoOD/ComSciCurriculumProject. Delivered OCR-based PDF Transcript Processing, enabling automatic extraction of course and student data from transcripts with an accompanying test file to validate end-to-end functionality. This feature establishes a scalable pathway for processing transcripts directly from PDF documents, reducing manual data entry and improving data accuracy. No major bugs reported this month; focus was on feature delivery, testing, and validating the OCR workflow. The work strengthens the curriculum project’s data ingestion capabilities and prepares for future integration with downstream systems (e.g., SIS).
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Bi-Ma-GOoOD/ComSciCurriculumProject. Delivered OCR-based PDF Transcript Processing, enabling automatic extraction of course and student data from transcripts with an accompanying test file to validate end-to-end functionality. This feature establishes a scalable pathway for processing transcripts directly from PDF documents, reducing manual data entry and improving data accuracy. No major bugs reported this month; focus was on feature delivery, testing, and validating the OCR workflow. The work strengthens the curriculum project’s data ingestion capabilities and prepares for future integration with downstream systems (e.g., SIS).
Activity
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Quality Metrics
Correctness78.6%
Maintainability82.6%
Architecture78.6%
Performance68.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DjangoMinioPythonYAML
Technical Skills
API DevelopmentBackend DevelopmentCloud Storage IntegrationData ExtractionData ProcessingData ValidationDatabase IntegrationDatabase ManagementDevOpsDjangoDockerFile HandlingFile UploadsMinIOOCR
Repositories Contributed To
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