365entertainment

This repository contains the 365Entertainment which is a movie recommendation system that provides personalized movie suggestions to users. The system utilizes machine learning algorithms and collaborative filtering techniques to analyze user preferences and offer tailored movie recommendations.

atliq-hr-analytics-dashboard

The Atliq HR Analytics Dashboard is a project created in Power BI that enables users to keep track of the work-from-home and leave status of all employees in an organization.

automation-of-playlist-creation-k_means

This repository contains the code, research paper, dataset, and presentation slides for the project "Spotify Songs Clustering based on Audio Features". The project aims to analyze and cluster songs from the Spotify music library using audio features to identify patterns and similarities among the songs.

banana-leaf-disease

The main goal of this project is to recognize different kinds of diseases that impact banana leaves, including Segatoka and Xanthomonas, and distinguish them from healthy leaves. The development of this project involved the application of sophisticated computer vision techniques and machine learning algorithms.

cancer-prediction---cervical-cancer-main

The objective of this project is to build a machine learning model that can accurately predict the presence or absence of cervical cancer based on the patient's demographic information, medical history, and laboratory test results.

classic-snake-game-using-python-and-the-pygame-library

This is a simple implementation of the classic Snake game using Python and the Pygame library. The game involves controlling a snake to eat food while avoiding colliding with walls or the snake's own body. The game ends when the snake hits a wall or collides with its own body.

classification-using-attention-based-deep-mil

This repository contains code and resources for performing classification using Attention-based Deep Multiple Instance Learning (MIL). The purpose of this project is to demonstrate how attention mechanisms can be incorporated into deep MIL models for improved classification performance.

cn-and-os-notes

This repository contains comprehensive notes on Operating Systems (OS) and Computer Networking (CN). Whether you are a student, a developer, or simply someone interested in understanding the fundamental concepts of OS and CN

coursera-exploratory-data-analysis-course-project-1

This Repository utilizes "Individual household electric power consumption Data Set" from the UC Irvine Machine Learning Repository. The dataset comprises measurements of electric power consumption in a single household, collected at a one-minute sampling rate for nearly four years. It includes various electrical quantities and sub-metering values.

cricket-t20-analysis

This repository contains code and resources for preprocessing and analyzing T20 World Cup cricket data. The project aims to provide insights into T20 cricket matches, players' performances, and match statistics.

data-science-notes

This repository contains a collection of handwritten notes in PDF format covering a wide range of topics in the fields of data mining, data warehousing, and data science.

database-management-system-notes

These notes are meant to provide a comprehensive overview of the fundamental concepts and techniques used in Database Management System (DBMS)

disease_detection_for_corn_leaf_with_resnet_pytorch

This repository contains an implementation of a deep learning model using the ResNet architecture in PyTorch for detecting diseases in corn leaves. The model is trained to classify images of corn leaves into different disease categories, helping farmers identify and address potential issues in their crops at an early stage.

eda-of-mutual-funds

Explored and analyzed the dataset to gain insights into the mutual fund industry.

emotion-recognition

Attention Detection uses Open CV that lets the user to check facial expressions of students in a classroom and obtain the output in excel sheet.

farm-equipment-rental-page

This repository contains a project that aims to address the issue of idle farmer equipment during non-seasons.

farmer-call-ai

AI-based voice-assisted Contact Center for assisting Farmers for their problems. Farmers can log their problems with the contact center thru phone calls / SMS / website and in return an automated voice response can be provided to the farmers with a most appropriate solution for their problems.

farmer-call-center-backend

This repository contains the backend code for the Farmer Call Center application, an AI-based voice-assisted contact center designed to assist farmers with their problems. Farmers can log their problems through phone calls, SMS, or the website, and in return, an automated voice response provides them with the most appropriate solutions.

farmers-delight

This repository contains all the necessary code and documentation for the Farmers Delight platform. Whether you are a developer interested in contributing to the project or a user looking to understand the system's functionality, this README will guide you through the key aspects of Farmers Delight.

flipkart-reviews

Identifies fake reviews on the Flipkart platform using machine learning techniques.

global-sustainable-energy-on-world

global-youtube-statistics

analyzes YouTube channel data on a global scale, offering insights into channel rankings, subscribers, video views, earnings, and more.

html-css-js-coursera

icare

iCare is a computerized system designed to manage all hospital entities, making it powerful, flexible, and user-friendly. The project aims to provide hospital administration with effective management and reduce human effort while also making the medical system transparent for patients by allowing them to view their expenses and bills.

image-classification

This project explores image classification using deep learning techniques. We collect and preprocess a labeled dataset of images, train a CNN using TensorFlow , and evaluate its performance using various metrics.

image-classification-for-cars-vs-planes

This project focuses on utilizing transfer learning techniques to classify images of cars and planes. The goal is to create an accurate and efficient image classification model that can distinguish between these two classes with high precision.

image-classification-using-bit

This repository contains an implementation of Image Classification using BiT (Big Transfer) models. BiT is a powerful image classification model that achieves state-of-the-art performance on various visual recognition tasks.

image-classification-with-modern-mlp-models

This repository provides a practical implementation of contemporary Multi-Layer Perceptron (MLP) models tailored for image classification purposes. These MLP models are specifically designed to efficiently and accurately classify images into various categories.

image-classification-with-vision-transformer

This repository contains the code and resources for performing image classification using Vision Transformer (ViT) models. Vision Transformers have gained popularity in computer vision tasks, demonstrating competitive performance compared to traditional convolutional neural networks.

java-and-system-commands

This repository contains notes on Java programming and various system commands for Unix-based systems. These notes are intended to serve as a quick reference guide for programmers and system administrators.