Age-Gender Detection with FastAPI

This project is a FastAPI application that predicts age and gender from uploaded images. It utilizes OpenCV for face detection and neural networks for age and gender predictions.

Prerequisites

Docker

Setup & Installation

Clone the repository:

git clone Age-Gender-Detection
cd Age-Gender-Detection

Build the Docker image:
```
docker build -t fastapi_app .
```
Run the container:
```
docker run -p 8000:8000 fastapi_app
```
After executing the above command, your FastAPI application should be running on http://127.0.0.1:8000.

Usage

Send a POST request to http://127.0.0.1:8000/predict/ with an image file attached. The API will return the predicted age and gender.

Example Response:
```
[
    {"gender": "Male", "age": "(25-32)"},
    {"gender": "Female", "age": "(15-20)"}
]
```

Technology Stack

FastAPI: Web framework to build APIs.
OpenCV: Used for face detection.
Docker: Used for containerization.

Contributing