Clinical-grade clarity for brain MRI review workflows
Upload MRI slices, run an on-device ensemble model, and export traceable PDF reports — built for minor projects that still feel like production software.
Hashed passwords · Role-based access · SQLite audit trail
- Secure signup & session
- Validated JPG/PNG upload with preview
- HOG + RandomForest inference (re-trainable)
- History, PDF/text export, dashboards
- Admin training, metrics, and global reports
Everything your submission checklist asks for
Authentication, uploads, multiclass prediction with confidence, downloadable artifacts, and a full admin control plane — all in Flask + SQLite.
Accounts & recovery
Signup with duplicate checks, login, hashed passwords, security-question reset, and clean logout redirects.
MRI intake
Type and size validation, local disk storage, preview & replace before inference, timestamped results.
Trainable ML core
Train/retrain from labeled folders, persist joblib model, confusion matrix + classification report in admin.
History & export
Searchable history, per-result detail, PDF/text downloads, user deletions, and dashboard rollups.
Admin cockpit
Separate admin session, user lifecycle, dataset browser, training, reports, feedback inbox, settings.
Reporting
User-wise, date-wise, and overall HTML exports generated entirely inside the project — no cloud APIs.
Ready to demo your pipeline?
Spin up the seed database, sign in as a sample user, and walk examiners through upload → predict → PDF in one sitting.