Reference

Video Demonstration

Recipe Recommendation System

This is a web application that utilizes Flask, Machine Learning, Tailwind CSS, HTML, and other technologies to provide recipe recommendations based on user preferences. The system aims to assist users in discovering new recipes and improving their cooking experience.

Technologies Used

• Flask: Python-based web framework for building the application backend and handling HTTP requests.
• Machine Learning: Utilizing ML algorithms to analyze user preferences and generate recipe recommendations.
• Tailwind CSS: A utility-first CSS framework used for designing the user interface of the application.
• HTML: Markup language for creating the structure and layout of web pages.

Getting Started

To run the Recipe Recommendation System locally, follow these steps:

1. Clone the repository: git clone https://github.com/manavgoyal111/Recipe-Recommendation-System.git
2. Install npm modules: npm install
3. Install the required python dependencies: requirement.txt
4. Start the Flask development server: npm run wb
5. Start the Tailwind development server: npm run tw
6. Access the application by opening your web browser and navigating to http://localhost:5000.

Contact

For further inquiries or information, please contact me