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Portfolio

💻Projects

Automated Attendance System

March 2021 - Present

  • Attendance system with multiple Face Detection and Recognition algorithms developed using OpenCV and Python.
  • The aim is to recognize students in my college and mark attendance so it saves time for the faculties during.
  • Worked with • Programming Languages(Python) • Library(OpenCV, dlib, Scikit-learn, face_recognition) • Development Tools(Atom)
Face Recognition

March 2021

  • Real-time multiple Face Detection and Recognition using OpenCV and Python.
  • I used a pipeline of multiple steps to achieve this, which includes: Face detection(haar cascade and frontal face detector), Landmarks estimation, Aligning them to get more accurate results, and Finding 128 unique measurements in each face and use it to classify the face using a classifier(Support Vector Machine classifier).
  • Worked with • Programming Languages(Python) • Library(OpenCV, dlib, Scikit-learn) • Development Tools(Atom)
The Social Network

May 2020 - July 2020

The Social Network is a clone project of Instagram which is done using Python and Django framework. We can perform functions like Creating a profile, Posting pictures, Like a post, Leave a comment and Follow other users.

Worked with

  • Programming Languages(Python, HTML, CSS, Bootstrap4)
  • Framework(Django)
  • Development tools(At
Credit Card Fraudulent Detection

December 2020

To recognize fraudulent credit card transactions using a couple machine learning algorithms(Isolation Forest, Local Outlier Factor, Support Vector Machines) and compare the accuracy scores of each algorithm.

Worked with

  • Programming Languages(Python, NumPy, pandas)
  • Library(scikit-learn)
  • Development Tools(Jupyter Notebook)

📜Certifications

Neural Networks and Deep Learning - Coursera
Python and Django Fullstack Web Developer Bootcamp - Udemy

🏋🏻Skills

  • Machine Learning
  • Python
  • Data Science
  • Deep Learning
  • Scikitlearn
  • Numpy
  • Pandas
  • OpenCV

📄Resume

Hrithickgokul_resume.pdf