Learn how to build a real-time facial emotion recognition system completely from scratch using PyTorch, Torchvision, and OpenCV — no pre-trained models, no shortcuts.

In this step-by-step tutorial, I’ll walk you through everything:
Understanding how a Convolutional Neural Network (CNN) works
Training your own deep learning model on an emotion dataset
Using CUDA for GPU acceleration
Performing live inference with your webcam in OpenCV

Whether you’re a beginner in machine learning or looking to deepen your understanding of CNNs, this project is a perfect hands-on exercise.

📂 Google Colab Link : https://colab.research.google.com/drive/1LAb-kbd6gT4Rfx60jkp0Z4RJa6qzEz3K?usp=sharing
📸 Dataset Used: https://www.kaggle.com/datasets/fahadullaha/facial-emotion-recognition-dataset
📝 Notion Doc : https://sayantannandi.notion.site/emotion-detector-cnn

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