khal-l / healthy-foodify

Healthy-Foodify

Cooking Recipe Recommendation System

This is a cooking recipe recommendation system website that assists users in finding recipes based on their available ingredients. The system utilizes real-time visual object recognition to identify food ingredients and recommends cooking recipes accordingly.

Features

• Ingredient Recognition: The system employs real-time visual object recognition to identify food ingredients selected by the user.
• Customized Recipe Recommendations: Based on the recognized ingredients, the website provides a list of customized cooking recipes that can be prepared using the available ingredients.
• Fast and Accurate: The current implementation of the system achieves a recognition rate of 83.93% within the top six candidates, with a rapid response time of 0.15 seconds for ingredient recognition.
• User-Friendly Interface: The website is designed to be intuitive and easy to use, allowing users to effortlessly find cooking recipes based on their available resources at home.

Technologies Used

• HTML: Responsible for the structure and content of the website.
• CSS: Handles the visual styling and presentation of the web pages.
• JavaScript: Provides interactivity, dynamic functionality, and integration with external services.

Getting Started

To run the cooking recipe recommendation system on your local machine, follow these steps:

1. Clone the repository: git clone https://github.com/Khal-l/Healthy-Foodify.git
2. Open the project in your preferred code editor.
3. Launch the website by opening the index.html file in a web browser.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvement, feel free to submit a pull request. Please ensure that your contributions adhere to the project's coding standards and conventions.

License

This project is licensed under the MIT License. You are free to modify and distribute the code as per the terms of the license.