Showing results for Create Vector Vector Vector Vector Vector Vector Recipe Vector
GitHub Repo
https://github.com/asojan6699/Recipe-Recommender-System
asojan6699/Recipe-Recommender-System
Created a content-based recipe recommender system using TF-IDF vectorization and cosine similarity. The system suggests recipes based on ingredients or user-selected preferences. Demonstrates skills in natural language processing, text cleaning, and recommendation algorithms.
GitHub Repo
https://github.com/rida05432/Data-Analytics-Project
rida05432/Data-Analytics-Project
Involves web scraping recipe data using BeautifulSoup, building recommender systems with vector space & KNN methods, and creating a binary classifier to predict "tasty" recipes. Includes data preprocessing, visualization, bootstrap confidence intervals, cosine similarity calculations, and evaluation using coverage/personalization metrics.
GitHub Repo
https://github.com/arunprabu-bot/AI-RECIPE-GENERATOR
arunprabu-bot/AI-RECIPE-GENERATOR
An AI-powered recipe generator built with Streamlit and Google Gemini that creates personalized recipes based on user ingredients and dietary preferences, with vector search for finding similar recipes.
GitHub Repo
https://github.com/http406/Vect-Field-Remastered.py
http406/Vect-Field-Remastered.py
From the previous code of Vector Field 2D, using arrows to represent a vector field works fairly well. But matplotlib can do better than this—it can show the streamlines of a vector field. A streamline shows how the vector field flows. In this recipe, we will show you how to create streamlines. Let's use the fluid flow example of the previous recipe. You will simply replace the arrows ( the first code of vector field ) with streamlines, as shown in the following code.
GitHub Repo
https://github.com/KarinaVanyaWardoyo/SmartRecipeRecommender
KarinaVanyaWardoyo/SmartRecipeRecommender
Creating a website that can generate recipe ideas based on available ingredients based on user's input. This project implements Content-Based Filtering (CBF) to suggest recipes by using TF-IDF to convert ingredients into numerical vectors, followed by Cosine similarity to measure how similar the vectors of the ingredients are
GitHub Repo
https://github.com/smburgoyne/Recipe-Book-Console-Application
smburgoyne/Recipe-Book-Console-Application
Program read user input to create and search for recipes stored in vectors, and wrote them to a file.
GitHub Repo
https://github.com/Balorum/Cocktail_Assistant
Balorum/Cocktail_Assistant
This project is a Python-based chat app integrating a Large Language Model (LLM) with a vector database to create a Retrieval-Augmented Generation (RAG) system for cocktail recommendations and information. It offers a simple web interface where users can ask cocktail-related questions, get personalized suggestions, and explore drink recipes.
GitHub Repo
https://github.com/MikeDuran-git/simple-local-rag
MikeDuran-git/simple-local-rag
This project aims to create a simple Retrieval-Augmented Generation (RAG) application that generates recipes based on available ingredients. By leveraging advanced language models (such as GPT-4) and a vector database, this application can retrieve relevant information and generate personalized recipes based on user criteria.
GitHub Repo
https://github.com/Seba-Toso/Meals-Recipes
Seba-Toso/Meals-Recipes
Finished|http://imgfz.com/i/ltyvD8a.png|http://imgfz.com/i/GRIT4s1.png|http://imgfz.com/i/mbqzows.png|The task was to create an app that allows access to recipe categories. On each category, all its recipes must be displayed and in each one of these will see its preparation. Each recipe must be able to be marked as a favorite and this must be recorded. All recipes can be filtered and checked as favorite.|This app was made using React-Native, expo as skeleton, expo vector icons, React Stack Navigation, Bottom tab Navigation and Drawer Navigation. The global state management of the app was done with Redux. The app data this time was provided by hardcode according to the meal and category models.|La tarea era crear una aplicación que permita el acceso a las categorías de recetas. En cada categoría se deben mostrar todas sus recetas y en cada una de estas se verá su preparación. Cada receta debe poder marcarse como favorita y esto debe quedar registrado. Todas las recetas se pueden filtrar y marcar como favoritas.| Esta aplicación se creó con React-Native, expo como esqueleto, iconos de vector de exposición, React Stack Navigation, navegación con pestañas inferiores y navegación con cajones. La gestión del estado global de la aplicación se realizó con Redux. Los datos de la aplicación esta vez fueron proporcionados por hardcode de acuerdo con los modelos de comida y categoría.
GitHub Repo
https://github.com/Aryia-Behroziuan/pandas