✔👉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
Findings of ACL 2021

Assessing Dialogue Systems with Distribution Distances [arXiv][code] We propose to measure the performance of a dialogue system by computing the distr

Yahui Liu 16 Feb 24, 2022
An open source framework for seq2seq models in PyTorch.

pytorch-seq2seq Documentation This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. The framework has modularized and

International Business Machines 1.4k Jan 02, 2023
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

SentimentArcs - Emotion in Text An end-to-end pipeline based on Jupyter notebooks to detect, extract, process and anlayze emotion over time in text. E

jon_chun 14 Dec 19, 2022
Treemap visualisation of Maya scene files

Ever wondered which nodes are responsible for that 600 mb+ Maya scene file? Features Fast, resizable UI Parsing at 50 mb/sec Dependency-free, single-f

Marcus Ottosson 76 Nov 12, 2022
A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

spaCyOpenTapioca A spaCy wrapper of OpenTapioca for named entity linking on Wikidata. Table of contents Installation How to use Local OpenTapioca Vizu

Universitätsbibliothek Mannheim 80 Jan 03, 2023
a test times augmentation toolkit based on paddle2.0.

Patta Image Test Time Augmentation with Paddle2.0! Input | # input batch of images / / /|\ \ \ # apply

AgentMaker 110 Dec 03, 2022
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides

ASYML 2.3k Jan 07, 2023
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

artificial intelligence cosmic love and attention fire in the sky a pyramid made of ice a lonely house in the woods marriage in the mountains lantern

Phil Wang 2.3k Jan 01, 2023
fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier

fast.ai ULMFiT with SentencePiece from pretraining to deployment Motivation: Why even bother with a non-BERT / Transformer language model? Short answe

Florian Leuerer 26 May 27, 2022
Problem: Given a nepali news find the category of the news

Classification of category of nepali news catorgory using different algorithms Problem: Multiclass Classification Approaches: TFIDF for vectorization

pudasainishushant 2 Jan 09, 2022
Code for the paper: Sequence-to-Sequence Learning with Latent Neural Grammars

Code for the paper: Sequence-to-Sequence Learning with Latent Neural Grammars

Yoon Kim 43 Dec 23, 2022
The aim of this task is to predict someone's English proficiency based on a text input.

English_proficiency_prediction_NLP The aim of this task is to predict someone's English proficiency based on a text input. Using the The NICT JLE Corp

1 Dec 13, 2021
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
Fuzzy String Matching in Python

FuzzyWuzzy Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

SeatGeek 8.8k Jan 01, 2023
Translation to python of Chris Sims' optimization function

pycsminwel This is a locol minimization algorithm. Uses a quasi-Newton method with BFGS update of the estimated inverse hessian. It is robust against

Gustavo Amarante 1 Mar 21, 2022
Utilizing RBERT model for KLUE Relation Extraction task

RBERT for Relation Extraction task for KLUE Project Description Relation Extraction task is one of the task of Korean Language Understanding Evaluatio

snoop2head 14 Nov 15, 2022
Textpipe: clean and extract metadata from text

textpipe: clean and extract metadata from text textpipe is a Python package for converting raw text in to clean, readable text and extracting metadata

Textpipe 298 Nov 21, 2022
Telegram bot to auto post messages of one channel in another channel as soon as it is posted, without the forwarded tag.

Channel Auto-Post Bot This bot can send all new messages from one channel, directly to another channel (or group, just in case), without the forwarded

Aditya 128 Dec 29, 2022
ConferencingSpeech2022; Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge

ConferencingSpeech 2022 challenge This repository contains the datasets list and scripts required for the ConferencingSpeech 2022 challenge. For more

21 Dec 02, 2022
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022