AI Cooking System

Introduction

The AI Cooking System is designed to assist users with all their meal-related needs. From suggesting recipes based on dietary preferences and existing inventory to generating guided cooking instructions, our goal is to create an interactive and intelligent cooking companion.

Key Functionalities

• Recipe Recommendations: Provide recipes based on user preferences (e.g., spicy, vegan) and the available inventory.
• Guided Cooking Instructions: Step-by-step instructions to help users cook with ease.
• Meal Planning: Suggest weekly or monthly meal plans with considerations for nutrition, dietary restrictions, and expiration dates.

Features

• Inventory Management: Track ingredients from grocery receipts or user inputs.
• Automated Recipe Recommendations: Use AI to suggest recipes that match user preferences.
• Guided Cooking: Provide real-time instructions and feedback during the cooking process.
• Future AI Integration: Incorporate advanced ML/AI for more robust recommendations and real-time speech recognition.

Tech Stack & Tools

• Backend: Django or Flask (Python-based framework)
• Frontend: React Native (JavaScript)
• Database: Firebase for real-time database and authentication
• ML/AI Component: (Future Integration) TensorFlow or PyTorch for advanced data analysis and model training
• Version Control: Git & GitHub for source code management

Installation & Setup

Prerequisites

Ensure you have the following installed on your machine:

• Python 3.9+
• Node.js 16+
• Git

git clone https://github.com/S3basG/AICookingAssistant.git
cd AICookingAssistant

cd backend
python -m venv venv
# Activate virtual environment:
# On macOS/Linux:
source venv/bin/activate
# On Windows:
venv\Scripts\activate

pip install -r requirements.txt
uvicorn main:app --reload --port 8000

cd ../frontend
npm install
npm start