Shrathan Kumar (shrathan)

shrathan

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College_Projects

BCA & MCA Projects

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FarmBuddy

FarmBuddy website - made to help farmers and agricultural Students.

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graphical-password-using-image-segmentation

The project allows user to input an image as an alternative to a textual password, the system segments the image into an array of images and stores them accordingly. The next time user logs on to the system the segmented image is presented by the system in a jumbled order. In order to login successfully, the user has to arrange the jumbled images.

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Swastha-App-Face-Mask-Detector

The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments acrossthe world to impose lockdownsto prevent virustransmissions. Reportsindicate that wearing facemasks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images , we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Our goal isto identifywhether the person on image/video stream is wearing a face mask or not with the help of computer vision and deep learning.

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Face-Mask-Detection-System

here we are trying to develop one python app to detect the person wear a mask or not in the future we are using some it sensors and try to develop one automatic gate if you wear a mask then gate open.

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flutter-face-mask-detection

A flutter app to check whether person wear a mask or not

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Graphical-Password-Authentication-System

An authentication system using Java, MySQL that uses multiple images and integrated sound signatures for user authentication with increased levels of security. Utilized Java Swings for front end GUI and a backend MySQL database. Combined the existing cued click point algorithm with the persuasive feature to influence user choice. The application can be integrated with the Gmail App , or any other application.

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