develop Vector Vector Vector Vector Recipe Vector

GitHub Repo https://github.com/lucadileo9/culinary-explorer

lucadileo9/culinary-explorer

Recipe search engine supporting multiple indexing models (Boolean, Vector Space, Doc2Vec). Developed for Information Management undergraduate course.

GitHub Repo https://github.com/LuisHRF/AICook-Intelligent-Recipe-Assistant

LuisHRF/AICook-Intelligent-Recipe-Assistant

Developed with Python, Flask, React, and vector databases, this platform allows users to search for recipes based on available ingredients and customize results according to their preferences. The project also includes an automatic recipe generation feature, using natural language models like GPT.

GitHub Repo https://github.com/MUHAMMAD-SAADUMAR/recipimenia-bot-rag-fullstack-main

MUHAMMAD-SAADUMAR/recipimenia-bot-rag-fullstack-main

Developed a cooking assistant chatbot using Flask that answers queries from an Indian recipe book using Retrieval-Augmented Generation (RAG). Implemented FAISS for semantic vector search and GPT-3.5 Turbo to generate accurate, context-aware responses. Integrated a responsive and interactive frontend using HTML, CSS, and JavaScript

GitHub Repo https://github.com/jagtapraj123/MealCheck

jagtapraj123/MealCheck

In this project we build docker deployable adaptive recommendation engine for meals to maintain users’ nutritional intake and variety in upcoming meals using Flask. We encode preparation steps of recipes in vector space to find similarities between recipes using math formula. We develop interactive Android App for users to log daily meals.

GitHub Repo https://github.com/pferdlexxie/Images2Recipes

pferdlexxie/Images2Recipes

Collaborative project, aimed to develop search application based on vector search.

GitHub Repo https://github.com/AlbertGarcia1991/vectorfood

AlbertGarcia1991/vectorfood

Project developed while learning LLM, vector embeddings, and RAGs. The goal is to deploy a website where you can search a recipe using vector similarity search between your query and the recipes database embeddings.