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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 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.
Use collaborative filtering algorithms to predict user ratings on movies given a training set. I created my own custom algorithm that combines features from Pearson Correlation, Cosine Similarity, Euclidean Distance, and IUF
Explore a Movie Recommender System using Streamlit UI with 5000 movies from TMDB, featuring cosine similarity for movie recommendations and real-time poster updates
The project is a system that recommends books for users based on their preferences entered into the system. Data is based on GoodReads data source. The system also uses a decision tree as a method for choosing the best books for the user.