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ASL AI

Gigabyte Gang (Team 8)

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Nicole Hu, Shreya Perumalla

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Madhumita Narayan, Celina Anwar

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Problem + Track

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Thought Process:

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  • Tech-based solutions for people with disabilities.

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  • Inspired by LING 250!

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  • What if we flipped the switch?

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  • Individuals support the hard of hearing community.

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Issue Being Addressed:

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Increasing accessibility to ASL education and removing barriers to learn.

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Our Mission

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-> Support and empower the hard of hearing community.

-> Foster an inclusive ASL learning environment.

-> Bridge the gap between both communities through resources.

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Features - ASL AI

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-> ASL Detection

-> Text to ASL

-> Resources

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Runtime: https://asl-ai.streamlit.app/

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Example Testing

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Tech Stack

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IDE: VSCode

Version Control: GitHub

Backend: Python

API for model: Roboflow

Frontend/Deployment: Streamlit

A special thanks to our mentor, Ayush!

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Reflection

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Bugs:

  • Finding a model
  • Installing necessary components
  • Customize style frontend

Successes:

  • Incorporating roboflow API
  • Learned how to use Streamlit
  • Creating a website

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Longevity/Next Steps

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  • Enhance model accuracy, create our own
  • Transform ASL Learn tool to become more interactive
    1. Add flashcard capability
    2. Accuracy tracking for personalized study sessions
  • Add video-to-text feature allowing users get real time translations

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https://asl-ai.streamlit.app/

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