A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
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Updated
May 4, 2019 - Python
A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
some random ZSH things which work nicely with anaconda
Anaconda Guide.
Attendfolio - A application to track attendance using Face Recognition upon a GUI interface
ChatBot made in Python with Rasa Framework for IEEE SB NIT Durgapur
Dicom Image Registration Program in Python using a modified SimpleITK/SimpleElastix module compiled from source
This one is advance version of the earlier one i.e Multiple disease prediction as we can run it just by cloning vs GitHub desktop and run it in vscode
A deeplearning based deepfake detection project for human face images and videos
Python implementation of the paper "A study on wrist identification for forensic investigation" https://www.sciencedirect.com/science/article/abs/pii/S0262885619300733
Synchronizing Code (Conda) Environments and Configs using CronTab, Celery, and Git.
My Python Journey 🐍 Welcome to my Python journey repository! 🚀 As a beginner, I'm excited to share my progress, learnings, and adventures in the world of Python programming. Whether you're a fellow newbie or an experienced coder, I hope you find something valuable here.
Pychram was used to create the AI voice assistant Mike. It is able to carry out fundamental client-designed tasks and comprehend human speech. The Mike is activated and starts carrying out user orders when the user specifies the right trigger words.
A simple GUI-based 2-Player Pong game created using Pygame in Python 3.
🌹 Python Programs
A series of scripts to easily manage tensorflow GPU conda environments
Scrapy Web Scraping for Data Extraction and Transformation
A simulation on how DNS works.
Record Opcodes for applications running on Windows, Move them to a csv file for each application process, Calculate the frequency of recorded opcodes.
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