Showing results for web Vector Recipe
GitHub Repo
https://github.com/varun-sadhanala/Recipe-Recommendatin-System
varun-sadhanala/Recipe-Recommendatin-System
The Recipe Recommendation System suggests dishes based on user-provided ingredients or tags using NLP techniques. It employs cosine similarity on vectorized ingredient data for accurate recipe matching. A Streamlit-based web app delivers an interactive and informative user experience with detailed steps and nutrition facts.
GitHub Repo
https://github.com/barveP/Recipe-Assistant-LangGraph-RAG
barveP/Recipe-Assistant-LangGraph-RAG
A recipe assistant that can search the web for recipes and help you figure out what to cook with the ingredients you already have. Built with LangGraph for workflow orchestration, ChromaDB as a vector store, and Claude as the LLM.
GitHub Repo
https://github.com/neharakeshpatil/recipe-recommender
neharakeshpatil/recipe-recommender
Recipe Recommendation System is a Streamlit-based web app that suggests recipes based on the ingredients you have. It uses TF-IDF vectorization and K-Nearest Neighbors (KNN) to match your input with similar recipes from the dataset. The app displays results in a clean card-based UI
GitHub Repo
https://github.com/ShreyaJamsandekar/Recipe-Generator
ShreyaJamsandekar/Recipe-Generator
Web-Crawler Based Recipe Generator that will introduce enough filters in a domain that it will help the user to find the exact recipe that they are looking for. The model will be fed recipes from different websites which it will be able to structure into a vector form.
GitHub Repo
https://github.com/RoseMarieNeilson/Diced-A-Recipe-Recommender
RoseMarieNeilson/Diced-A-Recipe-Recommender
Successfully recommend recipes based on input ingredients. Data was scraped from Allrecipes.com, natural language processing techniques were used in order to vectorize the data, and recipes were recommended based on the cosine similarities of the ingredient lists. A web app demonstrates the effectiveness of the recommendation.
GitHub Repo
https://github.com/ProfessorlearnCode/Intelli-Nutri
ProfessorlearnCode/Intelli-Nutri
A smart web application that helps users discover personalized recipes, track nutrition, and get real-time cooking guidance using AI. Built with Flask, HTML/CSS/JS, and SQLite, it features a dynamic preferences form, AI chatbot, and recipe search powered by vector embeddings and LLMs.
GitHub Repo
https://github.com/raghuramadivi/langflow-recipe-rag-agent
raghuramadivi/langflow-recipe-rag-agent
A RAG-powered recipe chatbot built with Langflow. Uses Astra DB for vector storage, OpenAI as the LLM agent, and DuckDuckGo as a web search fallback.
GitHub Repo
https://github.com/pragnyareddy00/Recipe-Recommendation-Chatbot-using-NLP
pragnyareddy00/Recipe-Recommendation-Chatbot-using-NLP
Indian Recipe Recommendation Bot using NLP - A Streamlit-based web application that recommends Indian recipes based on user input using Natural Language Processing (NLP) techniques. The app leverages TF-IDF vectorization and cosine similarity to find the best recipe matches from a dataset of Indian dishes.
GitHub Repo
https://github.com/Umang-BOT/Cooking-Genie
Umang-BOT/Cooking-Genie
A web app which suggests the food based on the ingredients and also tell instructions how to make the recipe. This project is based on TF-IDF quantifies the importance of words in the recipe descriptions, while cosine similarity measures the similarity between user input and recipe vectors.
GitHub Repo
https://github.com/rida05432/Data-Analytics-Project