prathimacode-hub/AI-For-Road-Safety
✔👉A Centralized WebApp to Ensure Road Safety by checking on with the activities of the driver and activating label generator using NLP.
This web application helps transport and logistics managers, or safety officers, improve road safety by monitoring driver behavior and public sentiment related to road conditions. It takes in real-time camera feeds to detect driver drowsiness or distraction, and analyzes text data (like social media posts) to identify road safety issues. The output helps identify risky driver activities and public concerns, enabling proactive safety measures.
No commits in the last 6 months.
Use this if you need to monitor driver alertness and identify potential road hazards from public feedback to enhance your fleet's safety protocols.
Not ideal if you require an integrated, out-of-the-box solution for vehicle telematics or rely solely on hardware-based driver monitoring systems.
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19
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5
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jun 18, 2022
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