Complete Face Emotion Detection Using CNN (Conv2D) | End-to-End Deep Learning Project

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Welcome to DatadoseX — your one-stop destination for hands-on Data Science, Machine Learning, and AI projects!

In this complete end-to-end project, we build a powerful Face Emotion Detection system using Deep Learning and Conv2D CNN layers.
Whether you're a beginner or brushing up your skills, this tutorial will guide you from dataset preparation all the way to real-time predictions using OpenCV.

💡 What You’ll Learn in This Video:
Preprocessing facial emotion datasets (grayscale + resizing)
Building a CNN with Conv2D, MaxPooling, Flatten, Dense layers
Training and validating the model using TensorFlow/Keras
Detecting emotions in real-time via webcam with OpenCV
Complete explanation of each line of code

🧠 Tech Stack:
Python
TensorFlow & Keras
OpenCV
NumPy, Matplotlib

🔍 Real-Life Applications:
Smart surveillance & security systems
Customer emotion analysis
Interactive AI/Chatbots
Mental health tracking tools

📁 Project Files : https://drive.google.com/drive/folders/1KjneSfYXbzN5-4q-3DRAmdVt2WpffLyJ?usp=sharing
💬 Have questions or feedback? Drop them in the comments – I personally respond!

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Видео Complete Face Emotion Detection Using CNN (Conv2D) | End-to-End Deep Learning Project канала DatadoseX