FRUDRERA is an AI-powered recipe recommender that suggests recipes based on the ingredients detected in a photo of your fridge. It utilizes object detection and OCR to identify ingredients and recommend recipes accordingly.
MovieMinds - Connect with similar cinephiles
SOEN471 Project - Team 10 - Winter 2024
A composition of Machine Learning Projects in python using algorithms in supervised, unsupervised, and deep learning.
This project is a skincare recommendation system that uses webcam detection, image analysis, or manual input to identify skin concerns and suggest suitable products from a dataset.
Collaborative Filtering based on Google Analytics 360 data from BigQuery.
Reading Recommendation System: This project implements K Nearest Neighbor (kNN) Collaborative Filtering to build a book recommender system based on a publicly available dataset.
M.Sc. Courses in Data Science, including Machine Learning, Deep Learning, Statistics and Data Analysis, and Recommendation Systems.
This is a collaborative filtering based books recommender system & a streamlit web application that can recommend various kinds of similar books based on an user interest.
Diet Recommendation System using KNN and built with Python for backend, ReactJS for frontend, and Docker for fast deployment.
Conducted Market Basket Analysis (MBA) on Amazon product dataset to enhance recommendations. Identified top-selling products and top products in each category using review count. Implemented asso- ciation rule mining for personalized recommendations. Evaluated effectiveness through metrics.
A Flask-based movie recommender system based on TF-IDF vectorization and cosine similarity.
Personalized smoking recommendations based on Collaborative Filtering.
Exploring Bloom embeddings as a compression technique for recommendation algorithms. Aimed at reducing the size of large input and output dimensionalities to enhance training and deployment efficiency on devices with limited hardware. This project evaluates Bloom embeddings using various hash functions and compares them with alternative methods.
Recommending videogames based on games and gamers similarity and segmenting gamers into groups of similar preferences
🎵 Unlock the Future of Music with Predictive Analysis!
CineSuggest," an advanced movie recommender powered by machine learning, removes uncertainty in film selection, employing data-rich algorithms for personalization.
An overview of reccomendation systems in Python
Project for HackSC (The University of Southern California Hackathon)
Provide book reccomendations using local LLMs, ensuring higher accuracy and reliability by cross referencing LLM with exisiting book database.
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