Age-and-Gender-Detection

CodeClause Task 2

Project Title: Age and Gender Detection with DeepFace

Description:

This project utilizes the powerful DeepFace library to implement accurate age and gender detection from facial images. DeepFace leverages deep learning models to analyze facial features, providing a robust solution for predicting both age and gender with high precision.

Features:

Age Detection: The model predicts the age range of individuals in the given images, providing valuable insights for various applications, including targeted marketing and content recommendation.
Gender Detection: Accurately determines the gender of individuals, contributing to demographic analysis and personalized user experiences.
DeepFace Library: The project is built on the DeepFace library, simplifying the implementation of facial analysis tasks through pre-trained deep learning models. This enables users to seamlessly integrate age and gender detection into their applications.

How to Use:

Installation:
- Clone the repository.
- Install the required dependencies using pip install -r requirements.txt.
Usage:
- Utilize the provided Jupyter Notebook or integrate the deepface library into your Python scripts.
- Input facial images and receive predictions for age and gender.

Acknowledgments:

This project is made possible by the DeepFace library. Special thanks to the contributors and the open-source community for their continuous support and advancements in the field of facial analysis.

Future Improvements:

Incorporate real-time processing for age and gender detection in video streams.
Fine-tune the model for improved accuracy on specific age and gender demographics.