This project applies deep learning techniques to analyze facial images and provide predictions on gender and age. Designed as a web-based solution, it delivers accurate results in real-time, making it ideal for various practical applications.

Key Features:

• Gender Detection: Utilizes CNNs for high-accuracy gender classification.

• Age Prediction: Implements regression models to estimate precise age ranges.

• Real-Time Analysis: Processes images quickly and returns results almost instantly.

• User-Friendly Web Interface: Allows for easy uploading of images and viewing results.

• Wide Application Scope: Useful for authentication, marketing analytics, and demographic studies.

Technologies Used:

• TensorFlow: For building and training deep learning models.

• Flask: Enables deployment as a web application.

• OpenCV: For image preprocessing and manipulation.

• Python Libraries: NumPy and Pandas for data handling.

This project demonstrates how AI can be integrated into everyday applications to enhance user experiences and decision-making.