Seashell Rarity Predictor (Image Classification)

This project uses Deep Learning (CNN) to classify seashell rarity from images.

Project Structure

• dataset/: Contains subfolders for each rarity class. Place your training images here.
• train_cnn.py: Script to train the Convolutional Neural Network.
• image_predictor.py: Tkinter application to upload an image and get a prediction.
• seashell_classifier.h5: The saved model (generated after training).

Setup

1. Install dependencies:

   pip install tensorflow pillow numpy

2. Prepare your dataset: Place images in dataset/Common, dataset/Uncommon, etc.
3. Train the model:

   python train_cnn.py

4. Run the predictor:

   python image_predictor.py

🔗 GitHub Repository Link

👉 Seashell Rarity Predictor
https://github.com/siddhiuk/seashell-rarity-predictor

🌐 Live Demo

👉 https://seashell-rarity-predictor--siddhhhiiiiiii.replit.app/

🎥 Project Demo Video

Watch Demo Video.