Overview This project involves building a face recognition system using Convolutional Neural Networks (CNN). The objective is to accurately identify individuals from a dataset of facial images. The dataset contains 40 distinct individuals with multiple images per person. The data set is downloaded from kaggle and also i can provide data set drive link here: https://drive.google.com/drive/u/0/folders/1fBFxB5xXgvQN9Q3R-ikrkNTBIn5g64JD Project Structure
Dataset: The dataset consists of 40 persons images with each person has 10 different expression images.
Preprocessing: Images are resized and normalized to ensure uniformity and facilitate efficient model training.
Model Design: A CNN architecture is designed to extract and learn features from the facial images.
Training: The model is trained using the preprocessed images with appropriate labels.
Evaluation: The trained model is evaluated on a separate test set to assess its accuracy and performance.
the results are :
