Recipe Recommender

An AI-driven project that recommends recipes based on user-input ingredients. Built using TensorFlow and Streamlit.

Overview

This project uses deep learning techniques to suggest personalized recipes. By looking at the ingredients users enter, the system matches their taste with a wide range of recipes. Each recommended recipe comes from a neural network model trained on various aspects of recipes, like figuring out important details, outlining cooking steps, and listing ingredients. This makes sure users get recipes that fit their tastes and preferences perfectly.

UI

• Main interface
• Recipe recommended interface

Team Members

• Kazi Sakib
• Nayma Sultana

Features

• Recommends recipes based on user-provided ingredients.
• Displays detailed recipe information including ingredients, steps, and a link to the original recipe.
• Provides a user-friendly interface with recipe suggestions.

Built With

• TensorFlow - Deep learning framework
• Streamlit - Web app framework for DL prototypes