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Somesh Fengade
  • ME
    • 👋About
    • 📚Personal Projects
      • 🌄AI meditations
      • 🤖GPT-Compare
      • 🌙Learning to see in the dark
      • 💸Lending Club analysis
      • ⏬Moodle Downloader
      • 📚Analyzing the complexity of literary passages.
      • 🧪Unit test analysis
      • 🍕Food Vision
      • 📜Skim Lit project
      • 🚋Driver's attention detection
      • ⏳React Countdown Timer app
  • Achievements
    • 🎓Achievements directory
      • 🐣Kaggle Expert (notebook)
      • ❗Amazon Machine learning competition (top 100)
      • 🐶PetFinder.my - Pawpularity Contest ( top 20%)
      • 🐳Happywhale - Whale and Dolphin Identification (top 20%)
      • 🖊️NBME - Score Clinical Patient Notes ( top 50%)
      • 🕸️Tensorflow Barrier Riff challenge(top 42%)
  • Notes and courses
    • 🍂Foundations of LLMs Lesson 1
    • GPT from scratch
    • Introduction to CUDA Python with Numba
      • Custom CUDA kernels in python with Numba
      • Multidimensional grids and shared memory for cuda python with Numba
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Driver's attention detection

PreviousSkim Lit projectNextReact Countdown Timer app

Last updated 2 years ago

This application can be used for determining if the driver is actually paying attention to driving and can save people's lives. I have used CNN with efficient-net base architecture for building this model

GitHub Link:

Libraries used

  • FastAI

  • Timm

  • TensorFlow

  • streamlit

Live demo:

for running this project run

streamlit run app.py

📚
🚋
  • GitHub Link:
  • Libraries used
  • Live demo:
LogoGitHub - someshfengde/driver_attention_detection: this is the deployment repo for driver detection competition with kaggle deployed with binderGitHub
Logohttps://share.streamlit.io/someshfengde/driver_attention_detection/app.py
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