rnrahate007/nutriguard-models

NutriGuard: Food Classification and AI-Generated Image Detection

Overview

NutriGuard is an AI-based computer vision project designed to support food-image verification and digital food-content fraud detection.

This repository contains two independently trained ResNet-101 model checkpoints:

1. A food-category classification model trained using the Food-101 dataset.
2. A real-vs-AI-generated image classification model trained using the CIFAKE dataset.

The models are designed to work together in a sequential image-verification workflow.

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| Model | Model Name | Architecture | Dataset | Task |
|---|---|---|---|---|
| Model 1 | NutriGuard Food Classification Model | ResNet-101 | Food-101 | Food-category classification |
| Model 2 | NutriGuard Authenticity Detection Model | ResNet-101 | CIFAKE | Real-vs-AI-generated image classification |