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This is a movie recommendation system project that I developed to put into practice some Machine Learning techniques, so the goal is for the user to choose a movie that have already been watched and receive the recommendation of new movies related to the chosen one.
This JavaScript engine recommends openings based on individual play style. Users can specify whether they are looking for an aggressive/passive opening or an open/closed game. They can also specify whether they like gambits and how deep into theory they'd like to go. Chess opening descriptions are scraped from Wikipedia.
MCalm detects people’s mood by using their facial expressions as well as by asking a few questions on a scale of 5, which would help people get a wider picture of their mood. Next comes the task to enlighten their mood by playing games , listening to jokes by bot and at last listening to soothing music.
An Indian fashion e-commerce website built using the Django web framework. It provides various functionalities, including a rating and review system with a recommender system build using a matrix factorization-based algorithm(SVD).