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followers: 2.0 following: 3.0 repos: 30.0 gists: 0.0

Name: Hemanth Narsingoju

Type: User

Company: Student

Bio: Goal oriented, Determined and Focused with a keen Eye for details. Skilled in various programming languages

Twitter: narsingojuhemu

Location: L.B.Nagar,Godavarikhani

Hi šŸ‘‹, I'm Hemanth Narsingoju

A passionate Software Developer from India šŸ’–


narsingojuhemanth

narsingojuhemu

  • šŸ”­ Iā€™m currently working on Multi Vendor Ecommerce Website

  • šŸŒ± Iā€™m currently learning MERN stack and Competitive Programming

  • šŸ‘Æ Iā€™m looking to collaborate on Multi Vendor Ecommerce Website

  • šŸ¤ Iā€™m looking for help with Interview Preparation [SDE]

  • šŸ‘Øā€šŸ’» All of my projects are available at narsingojuhemanth

  • šŸ’¬ Ask me about Programming, CS core subjects and Business Development

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences MY RESUME

  • āš” Fun fact Coffee over Chai ā˜•

šŸš€ Skills

Programming Languages :

Web Skills :

Database :

Cloud :

Presentation skills :

Other skills :

šŸ’» OS

šŸ“± Contact Me

narsingojuhemanth

šŸ‘ØšŸ‘© Social Links

narsingojuhemanth narsingojuhemanth narsingojuhemu this_is_hemu

Ā narsingojuhemanth

Ā narsingojuhemanth

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Hemanth Narsingoju's Projects

advanced-lane-detection icon advanced-lane-detection

Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspective Transform, Color Masks, Sobels and Polynomial Fit.

facial-recognition-based-attendance-system icon facial-recognition-based-attendance-system

To maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The following system is based on face recognition to maintain the attendance record of students. The daily attendance of students is recorded subject wise which is stored already by the administrator. As the time for corresponding subject arrives the system automatically starts taking snaps and then apply face detection and recognition technique to the given image and the recognize students are marked as present and their attendance update with corresponding time and subject id. We have used deep learning techniques to develop this system, histogram of oriented gradient method is used to detect faces in images and deep learning method is used to compute and compare feature facial of students to recognize them. Our system is capable to identify multiple faces in real time.

sudoku_gui icon sudoku_gui

This Sudoku is developed by using Backtracking algorithm

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