🏆 Kaggle Challenge - Cynaptics Club Induction

Welcome to my submission for the Cynaptics Club Kaggle challenge at IIT Indore! 🚀

🎯 Challenge Overview

The task: Distinguish between AI-generated images 🖼️ and real-life images 🌍.

🔍 My Approach

1. CNN Model:

   • Built a custom Convolutional Neural Network to classify images. 🧠

2. Transfer Learning:

   • Switched to more advanced models for better results:
     • VGG16 🖼️: Pre-trained on a large dataset, fine-tuned for our task.
     • Inception 🤖: Another powerful model tweaked for the challenge.

⚙️ Tech Stack

• Python 🐍
• TensorFlow/Keras✨

🚀 Results

The transfer learning models, especially VGG16 and Inception, boosted accuracy significantly, outperforming the initial CNN. 🎉