hcaptcha

Gracefully face hCaptcha challenge with Yolov5(ONNX) embedded solution

Introduction Does not rely on any Tampermonkey script. Does not use any third-party anti-captcha services. Just implement some interfaces to make AI vs AI possible. Requirements Python 3.7+ google-chrome Usage Clone the project code in the way you like. Execute the following command in the project root directory. # hcaptcha-challenger pip install -r ./requirements.txt Download Project Dependencies. The implementation includes downloading the YOLOv5 target detection model and detecting google-chrome in the current environment. If google-chrome is missing please follow the […]

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Django

Project management website for CMSC495 built using the Django stack

A minimal project management website for CMSC495 built using the Django stack. Team Lead: @MeyerWilliam Front End: @mosiris Back End: @Justin444 Browser and access Access the website through a modern web browser like Google Chrome or Mozilla Firefox by entering the website url. Account Creation The user will be directed to a login page with a button to create a new account. New users will need to create an account to access website functions.Password complexity is a must on account […]

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Games

Novel role playing game da turfu

Ce README sera la page de garde du projet. Contenu Il contiendra la présentation et le sommaire, les noms, les rôlesIl documentera aussi comment lancer le jeu, l’installer ainsi que quelquesinformations de fonctionnement général montrant le plan du projet et comment lemodifier. Autres Le planning (qui sera rempli au fur et à mesure), le journal des difficultés,des outils utilisés, et de la vision du projet en détail, et le journal (ainsique les fichiers) de test sont dans le dossier portofolio.On […]

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Tokens

Create HEC tokens in Cribl Stream through the API

This script is intended as an example of how to authenticate in Cribl Stream, and make a simple POST request to add a new HEC token. Usage: py_hec_token_mgr.py [-h] -l http://leader:port [-u USERNAME] -t TOKEN -a {add,modify} [-d DESC] -g GROUP -i INPUT [-p PASSWORD] the following arguments are required: -l/–leader, -t/–token, -a/–action, -g/–group, -i/–input if no password is supplied, you’ll be prompted currently the modify action does nothing Requirements: Tested with python 3 Requires the requests module 2022-02-15 – […]

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Recommend

A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity

A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity and also uses MongoDB as a database which stores the user data for a semi-collaborative filtering. Accuracy : Calculated accuracy using nDCG. Some randomly selected product efficiency: Batman killer croc takedown figures: nDCG=0.917 Star Wars Movie Heroes Yoda: nDCG=0.942 Harry Potter Hogwarts Bookmarks: nDCG=0.9406 Technology Used in this project: Pandas Numpy Sklearn MongoDB as Databases Streamlit for UI Demo: Home UI: Database structure: Result […]

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Analysis

Az Residential Real Estate Analysis

-Decided on libraries to import. Includes pandas, json, requests, plotly express, hvplot, geopandas, numpy and url. -Read in a nested json and cvs files of residential properties for sale in PHX and surrounding areas, and sorted through the atrributes to get our dataframes in a clean format. -Using urlopen, we read other json files into a sperate dataframe to plot and compare with our other data. -Analyzed and plotted the data using plotly, hvplot, and geopandas. -Plots included a map […]

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OCR

PIRDS – Prescription Image Recognition and Digitalizing System is a OCR make with Tensorflow

PIRDS – Prescription Image Recognition and Digitalizing System is a OCR make with Tensorflow that digitalises images of Prescription of Handwritten Texts by Doctors. Abstract PIRDS does the Digital transformation of hand-written prescription text using advance image processing techniques and deep learning methods. Image processing techniques helps to create images which are less noisy, and easily understandable for neural networks. Once image with required configuration are obtained, they are fed to neural network model for training. The neural network model […]

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Pipeline

Udacity api reporting pipeline

In this exercise, you’ll use portions of each of the skills you’ve learned in this lesson. First, you’ll configure a new API. This API will have a new app configuration file that you can call appfinal.py. Second, you’ll write a new endpoint for the API. This new endpoint will read a pickle file for a deployed model, and it will also read a dataset. It will use the deployed pickle file to make predictions for the dataset, and it will […]

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