aayushdewangan11

Profile

aayushdewanganportfolio

This is portfolio website of Aayush Dewangan, developed using the technologies likhe HTML5, CSS3, JS.

accivisualize-road-accident-insights-

Data Creation using SQL and Utilizing Tableau for AcciVisualize, a powerful tool presenting compelling visualizations and data analytics to understand road accidents thoroughly, enabling evidence-based safety measures.

airbnb-listings-nyc

Exploratory Data Analysis

alertsense-vigilant-drowsiness-detection-system

blockchain_enabled_federated_learning

A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model updates. This repo hosts an simulated implementation for described model written in Python.

blood-donation

This online blood donation management system maintains the list of blood donors and also helps the recipients to track and search the right donor easily. It has two modules namely Admin and User.

car-detection-using-opencv

This model using the concept of OpenCV tries to predict the presence of car in the simulated video. Is the model is 100% sure whether the vehicle is a car it puts it under a green box. And when there is some uncertainty it uses a red box for the prediction.

cpu-scheduler

cpu-scheduling-visualizer

An engaging visualizer showcasing nine core scheduling algorithms. From simple FCFS to dynamic RR, and insightful SJF to investigative LJF – each algorithm's nuances and outcomes are vividly depicted

credit-card-fraud-detection

To develop a machine learning model that can accurately detect fraudulent transactions in credit card data. Credit card fraud is a significant issue in the financial industry, and it is essential to detect fraudulent activities to prevent financial loss to individuals and companies.

django-invoice

A single url /invoices/ for thisCreate a Django application

dsa-practice

The repository will contain all the practice question from various DSA topics in C++ language

e_commerce_web_scraping

Beautiful Soup is a Python package for parsing HTML and XML documents. It creates a parse tree for parsed pages that can be used to extract data from HTML, which is useful for web scraping.

exploratory-data-analysis---retail

Stock Market Prediction using Numerical and Textual Analysis : Objective: To create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines(of that particular day).

face-mask-detection

This project uses the concpet of Deep Learning and Computer vision to check wheter someone is wearing a mask of not.

federate-learning

mnist-dataset-using-keras

Imported the inbuilt MNIST dataset through the Keras library & perform the following operation on classification: a) Prepare sequential & functional model for above dataset. b) Perform different operations on the above model like compile, fit, evaluate, predict, etc. c) Save the model & weight and load the model & weight for prediction.

os-task-scheduler

An online application for creating Gantt charts and computing Turnaround Time (TAT) and Waiting Time (WAT) using diverse scheduling algorithms.

portfolio-website

https://portfolio-website-seven-taupe.vercel.app/

sales-analytics

"Sales Insights using MySQL and Tableau" is a powerful and data-driven solution designed to provide comprehensive and actionable sales analytics for businesses.

stock-market-prediction-using-numerical-and-textural-analysis

A hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines

taskminder

Todo list application that allows users to manage and keep track of their tasks in an organized manner.

text-based-ai-bot-for-monitoring-mental-health

two-phase-simplex

unknown_objects_roads

Repository of the paper Multimodal Detection of Unknown Objects on Roads for Autonomous Driving at IEEE SMC

value_iteration

To find the optimal policy of a 5X5 grid with 10% blockages, value iteration is been used . Value iteration is the special case for Policy Iteration. When the process of policy evaluation is stopped after one step. For value Iteration, Bellman Optimal Equation is used. We start off with some random Value Function (say zero) and then we iterate this process using Bellman Optimal Equation.

weather-app

Get the real-time weather updates of your place