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-content-based-image-retrieval-using-hybrid-feature-extraction-techniques

Images consist of visual components such as color, shape, and texture. These components stand as the primary basis with which images are distinguished. A content-based image retrieval system extracts these primary features of an image and checks the similarity of the extracted features with those of the image given by the user. A group of images similar to the query image fed is obtained as a result. This paper proposes a new methodology for image retrieval using the local descriptors of an image in combination with one another. HSV histogram, Color moments, Color auto correlogram, Histogram of Oriented Gradients, and Wavelet transform are used to form the feature descriptor. In this work, it is found that a combination of all these features produces promising results that supersede previous research. Supervised learning algorithm, SVM is used for classification of the images. Wang dataset is used to evaluate the proposed system.

ai-powered-qna-web-app

An AI powered Queston & Answer web app created using Tensorflow.JS BERT

api

👥 A better directory of Yale personnel, with a clean API to match. Used by 70% of students.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

iste-782-vast-challenge-2019-mc1

Data Analysis and insights on VAST 2019 MC1 Dataset - Crowdsourcing for Situational Awareness

iste-782-visual-analytics

This repository contains the assignments done for the course ISTE782 Visual Analytics

leetcode-reference

A repository to practice leetcode problems

library-flask-api

This repository contains Python backend files for a library website built using Flask, SQLite, REST API and Data Structures.

lyft-rental-fleet-maintenance-system

This repo contains Lyft's Rental Fleet Maintenance System code. It determines if rental cars require servicing at return to maintain good condition, minimize breakdowns, costs and offer a better customer experience.

movie-recommendation-system

This repository contains a movie recommendation system built using content and collaborative based models.

news-data-classification

This project aims to compare the performance of different text classification machine learning models by implementing different text classification algorithms on a different datasets.

nokia_snake_game_with_reinforcement-learning

This project is about implementing the reinforcement learning algorithm Deep Q-Learning on the Nokia's Snake Game to predict the actions. It makes use of the Python's Pygame and Pytorch libraries.

react_shopping_application

E-Commerce Frontend Application built using ReactJS

rit-dsci-633-fds

DSCI-633: Foundations of Data Science & Analytics

sample_app_debug

select_movies_using_python-web_scraping

A simple project that scrapes data from the IMDB website using Python's Beautiful Soup library to suggest random movies from the 'Top 250 List' to the user..

stock-prediction-program

A basic Stock Prediction Program written in Python Using Machine Learning Algorithms

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

text-classification-using-twitter-and-news-dataset

This repository contains code for a text classification project using Twitter and news datasets, where several classification models were evaluated and compared based on their performance metrics.

wine-quality-classification

This project makes use of Python's Tensorflow library to classify whether a wine is of good or bad quality

zulip

Zulip server and web app—powerful open source team chat