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Cat vs Dog Prediction Telegram Bot

Implemented a convolutional neural network (2 Convo + 2 Dense Layer) trained on catvsdog dataset. Extracted tflite format, and used python-telegram-bot for realtime integration with telegram bot.


🔍 Project Overview & Demonstration

Simple Cat vs Dog Classification. Whenever user sends a Photo to the telegram, it predicts using trained model and replies back

Model Architecture

The model is a Convolutional Neural Network (CNN) trained from scratch using the Dogs vs Cats dataset.
Frameworks used:

  • TensorFlow / Keras
  • NumPy, Matplotlib for EDA
  • OpenCV for preprocessing

About

Implemented a convolutional neural network (2 Convo + 2 Dense Layer) trained on catvsdog dataset. Extracted tflite format, and used python-telegram-bot for realtime integration with telegram bot.

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