Meal recommendation app, created during HackaTUM, that uses a hybrid recommendation system and combines React, FastAPI, and speech technologies for an enhanced, accessible user experience.
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Updated
Nov 22, 2023 - HTML
Meal recommendation app, created during HackaTUM, that uses a hybrid recommendation system and combines React, FastAPI, and speech technologies for an enhanced, accessible user experience.
Coded in python. This allows the user to which restaurants offer delicious food and are highly rated by the customers. Dataset is taken based on survey by people who went to the restaurant and gave their opinion about it.
In this project I used NLP to analyze a dataset containing each episode from the hit show "The Office" with my findings I used TF-IDF and the Cosine Similarity to build a recommendation engine based on whether or not 'Micheal' and 'Dwight' appeared in the episode.
Creating a Recommendation System for Movielens100k.
In this work, a small search engine for animal adoption was implemented. The focus is on web page scraping, that set of methodologies used to automate the collection of information from Internet sites.
The Book Recommender System is a collaborative filtering-based approach that suggests personalized book recommendations based on user preferences and similarities. The system provides a user-friendly interface through Streamlit for an enhanced user experience.
An anime recommendation engine that allows us to recommend anime based on a given anime title or a given user using Pyspark
In this repository you will find all I learned in Machine Learning course from Stanford University. You can access to my completion certificate by clicking on the following link https://coursera.org/share/460d85edfd557a066eabc50320eb7749
Built a Recommender System is a system that seeks to predict or filter preferences according to the user’s choices.
🍿 Movie Recommendation App with Flask
Repository of the python scripts for the CS competition held in Kaggle obtaining the 4th place
A reccomeneder engine using Microsoft MIND project
Content-Based Recommender - Adam Hącia 2022
The provided code snippet performs movie recommendation based on movie metadata using the TMDB Movie Metadata dataset from Kaggle.
Scrumptious Suggestions is a data powered website that suggests it's users the best recipes based on their input ingredients.
Too Interesting For You
MyLibrary is tool for managing your personal library and generating personalized reading suggestions and statistics
Este es un trabajo en grupo para la asignatura de Ingeniería del Software hecho por Xabier Bahillo, Nicolás Martín, Alain Fernández y Asier Oyanguren. Representa una web de recomendaciones de películas respecto a valoraciones recientes y valoraciones de usuarios con gustos parecidos.
A recommendor system implemented using the Collaborative Filtering Algorithm.
Mini project on book reccomendation system based on collaborative filtering method. The dataset used is 7k-books.
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