✔👉A Centralized WebApp to Ensure Road Safety by checking on with the activities of the driver and activating label generator using NLP.

Overview

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

Owner
A modular Karton Framework service that unpacks common packers like UPX and others using the Qiling Framework.

Unpacker Karton Service A modular Karton Framework service that unpacks common packers like UPX and others using the Qiling Framework. This project is

c3rb3ru5 45 Jan 05, 2023
Twitter-NLP-Analysis - Twitter Natural Language Processing Analysis

Twitter-NLP-Analysis Business Problem I got last @turk_politika 3000 tweets with

Çağrı Karadeniz 7 Mar 12, 2022
This is an incredibly powerful calculator that is capable of many useful day-to-day functions.

Description 💻 This is an incredibly powerful calculator that is capable of many useful day-to-day functions. Such functions include solving basic ari

Jordan Leich 37 Nov 19, 2022
Application to help find best train itinerary, uses speech to text, has a spam filter to segregate invalid inputs, NLP and Pathfinding algos.

T-IAI-901-MSC2022 - GROUP 18 Gestion de projet Notre travail a été organisé et réparti dans un Trello. https://trello.com/b/X3s2fpPJ/ia-projet Install

1 Feb 05, 2022
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together

SpeechMix Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together. Introduction For the same input: from datas

Eric Lam 31 Nov 07, 2022
Train BPE with fastBPE, and load to Huggingface Tokenizer.

BPEer Train BPE with fastBPE, and load to Huggingface Tokenizer. Description The BPETrainer of Huggingface consumes a lot of memory when I am training

Lizhuo 1 Dec 23, 2021
Pre-training BERT masked language models with custom vocabulary

Pre-training BERT Masked Language Models (MLM) This repository contains the method to pre-train a BERT model using custom vocabulary. It was used to p

Stella Douka 14 Nov 02, 2022
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

What is MUSE? MUSE stands for Multilingual Universal Sentence Encoder - multilingual extension (16 languages) of Universal Sentence Encoder (USE). MUS

Dani El-Ayyass 47 Sep 05, 2022
Natural language processing summarizer using 3 state of the art Transformer models: BERT, GPT2, and T5

NLP-Summarizer Natural language processing summarizer using 3 state of the art Transformer models: BERT, GPT2, and T5 This project aimed to provide in

Samuel Sharkey 1 Feb 07, 2022
Implementation of Natural Language Code Search in the project CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

CodeBERT-Implementation In this repo we have replicated the paper CodeBERT: A Pre-Trained Model for Programming and Natural Languages. We are interest

Tanuj Sur 4 Jul 01, 2022
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing pororo performs Natural Language Processing and Speech-related tasks. It is easy to

Kakao Brain 1.2k Dec 21, 2022
Textlesslib - Library for Textless Spoken Language Processing

textlesslib Textless NLP is an active area of research that aims to extend NLP t

Meta Research 379 Dec 27, 2022
Kestrel Threat Hunting Language

Kestrel Threat Hunting Language What is Kestrel? Why we need it? How to hunt with XDR support? What is the science behind it? You can find all the ans

Open Cybersecurity Alliance 201 Dec 16, 2022
Just a basic Telegram AI chat bot written in Python using Pyrogram.

Nikko ChatBot Just a basic Telegram AI chat bot written in Python using Pyrogram. Requirements Python 3.7 or higher. A bot token. Installation $ https

ʀᴇxɪɴᴀᴢᴏʀ 2 Oct 21, 2022
A simple Speech Emotion Recognition (SER) API created using Flask and running in a Docker container.

keyword_searching Steps to use this Python scripts: (1)Paste this script into the file folder containing the PDF files you need to search from; (2)Thi

2 Nov 11, 2022
Neural network sequence labeling model

Sequence labeler This is a neural network sequence labeling system. Given a sequence of tokens, it will learn to assign labels to each token. Can be u

Marek Rei 250 Nov 03, 2022
TweebankNLP - Pre-trained Tweet NLP Pipeline (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Models + Tweebank-NER

TweebankNLP This repo contains the new Tweebank-NER dataset and off-the-shelf Twitter-Stanza pipeline for state-of-the-art Tweet NLP, as described in

Laboratory for Social Machines 84 Dec 20, 2022
Chinese version of GPT2 training code, using BERT tokenizer.

GPT2-Chinese Description Chinese version of GPT2 training code, using BERT tokenizer or BPE tokenizer. It is based on the extremely awesome repository

Zeyao Du 5.6k Jan 04, 2023
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training Code and model from our AAAI 2021 paper

Amazon Web Services - Labs 83 Jan 09, 2023
ChatterBot is a machine learning, conversational dialog engine for creating chat bots

ChatterBot ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on

Gunther Cox 12.8k Jan 03, 2023