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AnamikaP/
Fake-Product-Model

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🧠 Fake Product Analyzer

An AI-powered system that detects product logos from images using YOLOv8 and classifies them as Real or Fake using ResNet50. Built as part of my AI/ML project during the CDAC Training Program.

🚧 Status: This project is still in development. More features and improvements coming soon!

🔍 Problem Statement

Counterfeit products cause major financial and health-related issues. This project aims to:

Detect logos from product images
Classify the logo as Real or Fake
Provide explanation or reasoning using an LLM
Offer an easy-to-use Streamlit interface

🚀 Tech Stack Used

Component	Technology
Object Detection	YOLOv8
Image Classifier	ResNet50
LLM Integration	OpenAI
Frontend	Streamlit
Language	Python

🖼 Sample Output

Input Image	Detected Logo	Classification	Explanation
input	Nestle	Fake	The logo font doesn't match official Nestle branding.

🛠 How to Run Locally

Clone the repo:

git clone https://github.com/yourusername/Fake-Product-Analyzer.git

AnamikaP/Fake-Product-Model