rsingh230105/fake_product_detector

How rsingh230105/fake_product_detector works

This is a Django product-authenticity web application backed by image-analysis utilities and a separate MobileNetV2 training pipeline. The principal workflow is user image upload, validation, authenticity analysis, persistence, and a user-facing result. The README documents OCR, barcode, logo, and packaging checks; sampled views and utility excerpts establish the web-to-analysis/report path, but do not expose all internal analyzer calls, so those links are documented at a high level.

Main entry points: views.py Django views · ml_utils.py Inference utilities · config.py Pipeline configuration · train.py Training pipeline

Components 21

Web application

Django views webapp/detector/views.py
App routes webapp/detector/urls.py
Upload validation webapp/detector/validators.py
Product and user records webapp/detector/models.py

Authenticity analysis

Inference utilities webapp/detector/utils/ml_utils.py
Readable result reports webapp/detector/utils/report_generator.py
MobileNetV2 classifier model_pipeline/model.py
OCR checks model_pipeline/ocr_module.py
Barcode checks model_pipeline/barcode_module.py
Analysis fusion model_pipeline/fusion_model.py

Model training and evaluation

Training pipeline model_pipeline/train.py
Enhanced training model_pipeline/train_enhanced.py
Training data loading model_pipeline/data_loader.py
Pipeline configuration model_pipeline/config.py
Model evaluation model_pipeline/evaluate.py
Pipeline prediction model_pipeline/predict.py
Image preprocessing model_pipeline/preprocessing.py

Accounts and content

Account and content forms webapp/detector/forms.py
Content administration webapp/detector/admin.py
Web pages webapp/detector/templates

Other components

Product checker

Connections 22

Product checker → App routes: requests analysis README.md
App routes → Django views: routes to webapp/detector/urls.py
Django views → Upload validation: validates uploads webapp/detector/views.py
Django views → Inference utilities: runs analysis webapp/detector/views.py
Django views → Readable result reports: builds report webapp/detector/views.py
Django views → Product and user records: saves analysis webapp/detector/views.py
Inference utilities → MobileNetV2 classifier: classifies images README.md
Inference utilities → OCR checks: extracts text README.md
Inference utilities → Barcode checks: checks barcode README.md
Inference utilities → Analysis fusion: combines checks
Training pipeline → Pipeline configuration: loads settings model_pipeline/train.py
Training pipeline → MobileNetV2 classifier: builds classifier model_pipeline/train.py
Enhanced training → Pipeline configuration: loads settings model_pipeline/train_enhanced.py
Enhanced training → MobileNetV2 classifier: builds classifier model_pipeline/train_enhanced.py
Training pipeline → Training data loading: loads datasets
Model evaluation → Pipeline configuration: loads settings model_pipeline/evaluate.py
Pipeline prediction → Pipeline configuration: loads settings model_pipeline/predict.py
Image preprocessing → Pipeline configuration: loads settings model_pipeline/preprocessing.py
Account and content forms → Product and user records: validates records webapp/detector/forms.py
Content administration → Product and user records: manages content webapp/detector/admin.py
Django views → Account and content forms: uses forms webapp/detector/views.py
Django views → Web pages: renders pages

Drawn by GitDiagram on November 12, 2026 from the repository's file tree, README and source files. Read as Markdown ·