README.md

FastAPI Career Path Recommendation API

This repository contains a simple FastAPI application that provides career path recommendations based on user input. The API accepts a user's name, skills, and career goal to generate personalized recommendations.

Features

• GET /recommendation: Accepts name, skills, and goal parameters and returns career path recommendations.

Installation

To run this application, you need to have Python installed. Follow the steps below to set up and run the API.

Step 1: Clone the Repository

git clone https://github.com/your-repository.git
cd your-repository

Step 2: Create a Virtual Environment

It's a good practice to use a virtual environment to manage dependencies. You can create one using the following command:

python -m venv env

Activate the virtual environment:

On Windows:

.\env\Scripts\activate

On macOS and Linux:

source env/bin/activate

Step 3: Install Dependencies

Install FastAPI and Uvicorn using pip:

pip install fastapi uvicorn

Running the API

To start the FastAPI server, use the following command:

uvicorn main:app --host 0.0.0.0 --port 8080

This will start the server on http://localhost:8080

Usage

You can access the recommendation endpoint using the following URL format:

http://localhost:8080/recommendation?name=John&skills=Python&goal=DataScientist

OR

http://0.0.0.0:8080/recommendation?name=John&skills=Finance&goal=Banker

Replace John, Python, and DataScientist with your desired values for name, skills, and goal.