Pet Recommendation App

This README provides comprehensive instructions for setting up, running, and deploying a Python Flask application that uses AI services to provide care recommendations for pets based on their breed. Below is an overview of key sections and details:

Overview

The project aims to create a user-friendly web application that takes a pet's breed as input (via image classification) and provides tailored care advice using natural language processing.

Key Components

1. Image Classification: Uses Nyckel's pretrained dog breed classifier.
2. Natural Language Processing: Utilizes Google Gemini API for generating care recommendations based on the classified breed.
3. Web Interface: Built with Flask, a lightweight Python web framework.

Setup & Configuration

Prerequisites

• Python 3.9+
• A Google Gemini API key

Local Setup

1. Create and activate a virtual environment:

   bash
    
   1python3 -m venv venv
   2venv\Scripts\activate (Windows)
   3source venv/bin/activate (Linux/macOS)

2. Install dependencies:

   bash
    
   1pip install -r requirements.txt

3. Set your API key:

   bash
    
   1$env:GOOGLE_API_KEY="your

Read the full article at DEV Community

---

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.