[2023 Play Data - Data Engineering 22nd] 담은 곡 기반 부를 곡 추천 서비스 - Romanti:veloper 팀
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Updated
Aug 24, 2023 - CSS
[2023 Play Data - Data Engineering 22nd] 담은 곡 기반 부를 곡 추천 서비스 - Romanti:veloper 팀
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.
A Web App that recommends you movies/shows based on the list of things you give it.
Morec- A Simple Movie Recommender Made with CSS and html only. Future updates will include vast improvements with java script and many more things.
A website that finds the ideal movie for you!
Intelligent Algorithms website
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.
Libranium is a web-app that recommends books to students, educators, and enthusiasts alike based on interests, previous books, and text prompts.
E-commerce Kitchenware application using recommender systems, chatbots, search-and-filter functionalities and Loyalty systems
Project for my thesis; Social Recommender System
django app for analysing the feedback whether it is positive or negative. It is trained using Logistic regression ML algorithm
💻 Wadabai is a product recommendation wizard based on user needs rather than technical features
A simple product recommender app which recommends the product to the users based on their preferences.
A movie recommendation program that utilizes user data to match and recommend the user with movies and films that it thinks the user will enjoy.
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).
Recommendation system for B2B hiring (FYP)
A movie recommendation application that utilizes an API to provide responsive results.
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