Skip to content

โœ”๐Ÿ‘‰A Centralized WebApp to Ensure Road Safety by checking on with the activities of the driver and activating label generator using NLP.

License

Notifications You must be signed in to change notification settings

prathimacode-hub/AI-For-Road-Safety

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 

Repository files navigation

AI-For-Road-Safety

Challenge hosted by Omdena Hyderabad Chapter

Original Repo Link : https://github.com/OmdenaAI/omdena-india-roadsafety

Final Presentation Link : https://docs.google.com/presentation/d/1Gk53mIN270ovEqfSlX6FUAC4_ynEWU3hHXVGxUJZtRg/edit?usp=sharing

Google Drive : https://drive.google.com/drive/folders/1cGs5Inm8AaTxmG9Ad6-lX6X_5CWBq7Zx

Data Wrangling & Pre-Processing Dashboard : https://public.tableau.com/app/profile/nikhil2069/viz/road_safety_EDA/EDAofTweets

Computer Vision Demo Link : https://drive.google.com/file/d/153NX6Sm9Re-gc8ZLYQ7GuJrxWhM7YRhp/view?usp=sharing

Streamlit Application :

Streamlit Link : https://share.streamlit.io/prathimacode-hub/ai-for-road-safety/main/main.py

Docker Application :

Docker Link : https://hub.docker.com/repository/docker/snikhil17/omdena_road_safety

Docker Steps:

Note:

  • snikhil17 : login ID of Dockerhub (use own when deploying)
  • omdena_road_safety: name of the image created (you may use something else)

To Push the image and run in your PC

Create the image

  • docker build -t snikhil17/omdena_road_safety .

Run the image in local PC

  • docker run -it -p 8501:8501 snikhil17/omdena_road_safety
  • To run streamlit: once docker image is run. Open a new browser and run http://localhost:8501/

To Push image in docker-hub

  • docker login
  • docker push snikhil17/omdena_road_safety

To pull the image and run in your PC

  • docker pull snikhil17/customer_intention_1:latest
  • docker run -it -p 8501:8501 snikhil17/omdena_road_safety
  • To run streamlit: once docker image is run. Open a new browser and run http://localhost:8501/

Tasks Involved:

Natural Language Processing

Label & Sentiment Generator - Check out this application through Streamlit Demo App Link provided.

Computer Vision

Eye Gaze Estimation + Drowsiness Detection + Yawn Detection

This application doesn't support Streamlit, hence it can compiled directly on Local Drive using generated Driver Attention Estimation .exe file files uploaded in the drive.

Demo Link : https://drive.google.com/file/d/153NX6Sm9Re-gc8ZLYQ7GuJrxWhM7YRhp/view?usp=sharing