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My research, studying and assessing the extent to which latent bias is present in commercial facial recognition systems offered by Google Cloud, Face++, and Microsoft Azure. Created a 1600 image dataset with faces from 8 regions in South Asia. Used this dataset to assess each cloud service.

Home Page: https://www.ijirmf.com/wp-content/uploads/IJIRMF202108001.pdf

Python 3.59% Jupyter Notebook 96.41%
ai bias bias-analysis coded-gaze computer-vision computer-vision-algorithms equitable-ai equitable-algorithms face-detection faceplusplus google-cloud google-cloud-vision microsoft-azure microsoft-cognitive-services ml

southasian-face-recognition-bias-analysis's Introduction

👋 Hi! I'm Armeet.

🦫 Undergrad (incoming junior) studying CS and Applied Math at Caltech (class of 26')
View my projects, publications, resume, and more at armeet.ca

◾ experience

  • ✨ Research Fellow at Anima AI + Science Lab @ Caltech (9 months) (Nov 2023 - Current)
  • 🌎 Research Fellow at Seismology Lab @ Caltech (5 months) (June 2023 - October 2023)
  • 🔬 Research Intern at Wei Bio-Imaging Lab @ Caltech (3 months) (July 2022 - September 2022)
  • 🏫 Volunteer at Code 4 Tomorrow (2 years) (September 2020 - May 2022)
  • 🧮 AI/ML Intern at PathToExcel, Bay Area (3 months) (June 2019 - August 2019)

◾ socials

◾ projects

A few of my projects are pinned. I'm waiting on making some of my research repos public.

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