Student ID Processing Automation System
A desktop and backend system for student ID asset management using Python, FastAPI, SQLite, QR-based mobile uploads, image processing, duplicate detection, and organized folder creation.
Business problem
Collecting and managing student ID images can become disorganized when uploads, duplicates, and folders are handled manually.
What I built
A Python and FastAPI system supports QR-based mobile uploads, stores records in SQLite, processes images, detects duplicates, and creates organized folders.
How I built the workflow
Generate access
QR codes help route uploads into the system.
Receive images
Mobile uploads are processed by the backend.
Validate records
Duplicates and record state are checked.
Organize assets
Folders and image files are stored in a consistent structure.
Tools and integrations
Key features
- QR-based mobile uploads
- Image processing
- Duplicate detection
- SQLite records
- Organized folder creation
- Desktop interface
Intended impact
- Student ID assets are easier to manage.
- Duplicate records are easier to detect.
- Uploads and folders follow a clearer process.
Project results
Images and records follow a consistent storage structure.
The system supports duplicate checks.
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