Skip to content
View Arpita0704AD2110's full-sized avatar
🏠
WFH, Focusing
🏠
WFH, Focusing

Block or report Arpita0704AD2110

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Arpita0704AD2110/README.md

Hi πŸ‘‹, I'm Arpita Vishwakarma

Recent graduate student of B.tech at Mahakal Institute of Technology, Ujjain


πŸ‘©β€πŸ’» Want to know more about Me :

I am a Passionate Self Learner from India.

coding

  • 🌱 I’m currently learning Machine Learning, Data Analytics, Full Stack Development

  • πŸ‘¨β€πŸ’» All of my projects are available at Portfolio

  • πŸ“« How to reach me arpita6863vishwakarma@gmail.com

  • πŸ“„ Know about my experiences on my Resume


arpita0704ad2110






πŸ“Š Github Stats:

arpita0704ad2110

Arpita0704AD2110


Pinned Loading

  1. Drowsiness_detection_system- Drowsiness_detection_system- Public

    Detection system using pygame for graphics and alarm sound, openCV for real time image processing of eye , Dlib for facial landmark detection and request for getting the message on Telegram.

    Jupyter Notebook

  2. Face-mask-detector- Face-mask-detector- Public

    It is a technological system designed to identify & determine whether individuals within a given space or through a camera feed are wearing face masks or not. It employs computer vision algorithms,…

    Jupyter Notebook

  3. Innobyte-Services Innobyte-Services Public

    Jupyter Notebook

  4. Detect-Labels-Faces-and-Landmarks-in-Images-with-the-Cloud-Vision-API Detect-Labels-Faces-and-Landmarks-in-Images-with-the-Cloud-Vision-API Public

  5. MoneyGuard MoneyGuard Public

    Still working to make it fully responsive for seamless use across different screen sizes.

    HTML