SiddharthaShandilya

AIOps-mlflow-pytorch-multistep-workflow

AIOps-mlflow-pytorch-multistep-workflow

air_quality_index_prediction

THIS WEB_APP ALLOWS USER TO PREDICT THE AIR QUALITY INDEX BASED ON FEATURES LIKE TEMPERATURE, WIND VELOCITY, ATMOSPHERIC PRESSURE

automation-using-python

we are using python to automate docker , Hadoop ,

Covid-Prediction

A Web-App using Machine Learning to Predict whether the user symptoms related to Covid or not . It helps predict the chances of the user having covid with an accuracy of 85%.

Dementia_detection_using_AI

Dementia is a neurodegenerative disorder, using this web-app we can predict whether the person is suffering from dementia or not

DockerWeb

📌 In this task you have to create a Web Application for Docker (one of the great Containerization Tool which provides the user Platform as a Service (PaaS)) by showing your own creativity and UI/UX designing skills to make the webportal user friendly. 📌 This app will help the user to run all the docker commands like: 👉docker images 👉docker ps 👉docker run 👉docker rm -f 👉docker exec 👉 add more if you want. (Optional) 👉 Make a blog/article/video explaining this task step by step. ⚙️ Task 7.2 - 📌 Write a blog explaining the use-case of javaScript in any of your favorite industries.

Health_Care_AI

In this project , I have trained multiple model which predicts the probability of an user having the mentioned disease based on symptoms

insurance_fraud_detection

The project will have a complete end-to-end pipeline for insurance fraud prediction model

Medical-Image-Processing

The Covid Detection application

number-plate-recognition

👉Create a model that will detect a car in a live stream or video and recognize characters on number plate of the car . 👉Secondly , it will use the characters and fetch the owners information using RTO API’s . 👉Create a Web portal where all this information will be displayed (using html,css,and js)

SiddharthaShandilya/100-Days-Of-ML-Code

100 Days of ML Coding

SiddharthaShandilya/a-simple-infrastructure-using-aws-C.F

SiddharthaShandilya/amazon

SiddharthaShandilya/amazon-clone

SiddharthaShandilya/amazon-rekognition-virtual-proctor

A solution to assist with virtual proctoring of exams using Amazon Rekognition

SiddharthaShandilya/Ansible-hadoop

Configure Hadoop and start cluster services using Ansible Playbook

SiddharthaShandilya/AR-Sudoku-Solver

:evergreen_tree: A augmented reality sudoku solver using random forest classifier and backtracking algorithm

SiddharthaShandilya/ARTH

This Repo is for Project created in ARTH-The school of technologies Traning

SiddharthaShandilya/ARTH-TEAM-TASK-O1

SiddharthaShandilya/Arth_Team_task-01

SiddharthaShandilya/ATTENDSCAN

Facial recognition is a vast domain, so before going in depth, let’s understand this technology in a nutshell. Firstly, the picture of a person is captured from a photo or video, when appeared alone or in a crowd. The facial recognition software reads the geometry of the face and extract key features like distance between the eyes, distance from forehead to chin, color of hair etc. The software identifies key features, sets facial landmarks and generates facial signatures from the image captured. This facial signature being a mathematical formula is used for comparison with the database of known faces. The difference between the obtained facial signature and database images are calculated through different mathematical techniques and the nearest is chosen as an optimum result. Finally, the determination is made, and the output indicates whether the image exists in the database or not.

SiddharthaShandilya/Automation-using-Python-1

Automation

SiddharthaShandilya/Bank-Note-Authentication

💸 Authenticate Bank Notes on the basis of Genuity and Forged using Sklearn and deployed on Heroku and FastAPI Server 💳 💲

SiddharthaShandilya/coffeeOrderLayout

this is a file for creating a layout of the Coffee order application

SiddharthaShandilya/Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

SiddharthaShandilya/Denoising-Dirty-Documents

# Denoising Dirty Documents Optical Character Recognition (OCR) is the process of getting type or handwritten documents into a digitized format. If you've read a classic novel on a digital reading device or had your doctor pull up old healthcare records via the hospital computer system, you've probably benefited from OCR. OCR makes previously static content editable, searchable, and much easier to share. But, a lot of documents eager for digitization are being held back. Coffee stains, faded sun spots, dog-eared pages, and lot of wrinkles are keeping some printed documents offline and in the past. This competition challenges you to give these documents a machine learning makeover. Given a dataset of images of scanned text that has seen better days, you're challenged to remove the noise. Improving the ease of document enhancement will help us get that rare mathematics book on our e-reader before the next beach vacation. We've kicked off the fun with a few handy scripts to get you started on the dataset. Acknowledgements Kaggle is hosting this competition for the machine learning community to use for fun and practice. This dataset was created by RM.J. Castro-Bleda, S. España-Boquera, J. Pastor-Pellicer, F. Zamora-Martinez. We also thank the UCI machine learning repository for hosting the dataset. If you use the problem in publication, please cite: Bache, K. & Lichman, M. (2013). UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science ## AIM: * To Denoise the images using Encoder-Decoder Model ## Dataset: * https://www.kaggle.com/c/denoising-dirty-documents/data * We are provided two sets of images, train and test. These images contain various styles of text, to which synthetic noise has been added to simulate real-world, messy artifacts. The training set includes the test without the noise (train_cleaned). You must create an algorithm to clean the images in the test set.

SiddharthaShandilya/DevOpsDemos

SiddharthaShandilya/Dockerfile-webserver

container=httpd-server

SiddharthaShandilya/Face-Recognition

SiddharthaShandilya/Kubernetes-projects

SiddharthaShandilya/Machine-Learning

All the Machine Learning program are here

SiddharthaShandilya/python

SiddharthaShandilya/Python-Menu-WEB

SiddharthaShandilya/Sample_Datasets

This repository contains sample datasets for testing purpose.

SiddharthaShandilya/silver-eureka

The code will allow user to create a simple infrastructure comprsed of vpc internet gateway route ttables and others

SiddharthaShandilya/StreamlitDataVisualizationApp

SiddharthaShandilya/Terraform

SiddharthaShandilya/ud839_Miwok

SiddharthaShandilya/Vehicle-And-Pedestrian-Detection-Using-Haar-Cascades

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

SiddharthaShandilya/vehicle_detection_haarcascades

Vehicle Detection by Haar Cascades with OpenCV