In order to ensure information about our on-going pandemic is inclusive and accessible to everyone regardless of ability or disability, we have created a web application that uses speech recognition, narration, deep learning, and various other tools to present the latest information about COVID-19 to users. In the last year, there have been a variety of applications developed to spread verified COVID-related information to users. Despite this, we realized a gap in catering for those with visual impairments. We decided to address this issue with the tremendous capabilities of speech recognition technology to essentially create a virtual assistant for COVID-19 information that can perform a variety of tasks ranging from answering questions about the virus using an AI-powered chatbot, to returning the top-5 global COVID-19 headlines for the current day, to even enabling quick-and-easy dissemination of COVID-19 county-specific updates to family and friends without even having to touch your phone. All of our information is continuously updated. We wanted to empower people with visual disabilities to ultimately make more informed decisions about COVID-19 for their own health and safety.

By educating users, and reducing information access inequalities, our application addresses goals #4 and #10 of the 17 UN Sustainable Development Goals. Our team also consisted of members from 2 different time-zones (Hong Kong Time, and Pacific Standard Time), making this a global hack!

Speech Recognition Technology

As mentioned above, our app focuses on enabling the visually impaired. In order to cater to this specific demographic, we needed to deviate from traditional text input/output and transition to a speech to text/text to speech functionality. To do this, we utilized the PyAudio and SpeechRecognition libraries for speech to text and the Pyttsx3 library for text to speech. By using speech recognition, we allow visually impaired users to interact with the app without any use of eyesight. Users can simply verbally select from our list of options and the bot will read aloud the outputs.

An AI-Powered Chatbot

Apart from using speech recognition technology to improve the accessibility of information, TrackTogether also makes use of the incredible capabilities of deep learning to create an AI-powered chatbot that answers COVID-related questions. By using the Tensorflow and the TF-Learn modules in python, we created, trained, and deployed a deep-learning neural network that helps us predict the type of questions asked by a user. Our model architecture consists of three hidden layers in total. Specifically, this is made up of one pre-trained word embedding layer that accounts for the similarity of words used, and two densely connected layers consisting of 8 and 16 neurons respectively. We also used the NLTK library to preprocess, lemmatize, and tokenize the text used. With a 96% accuracy, your model would take in the user's input and return the topic associated with their input. Using this predicted topic, we would randomly pick from a handful of responses and return these to the user. This AI-powered chatbot, which we created from scratch, was integrated with our speech recognition functionality to enable visually impaired individuals to easily ask any COVID-19 related questions, and receive an accurate, and informative response.

Usage of Twilio’s API

One of the functionalities of Twilio’s API is that it allows users to programmatically send SMS messages to different people. Using Twilio and speech recognition we allow visually-impaired users to send SMS messages to themselves or friends/family containing real-time new/cumulative COVID-19 metrics specific to their zip code. These messages are updated daily by querying from the New York Times’ COVID-19 GitHub repository. Additionally, our app pairs seamlessly with the text to speech capabilities of mobile devices with programs such as Siri that can read aloud texts. Furthermore, messages can be halted by the user when the keyword STOP is entered.

Real-time COVID-19 news updates

In order to get an idea of the most popular COVID-19 articles on any given day, we web-scraped the hottest posts on the Coronavirus subreddit. These posts are exclusively news articles pertaining to the COVID-19 pandemic and are updated every day based on popularity/interest. At the user's discretion posts can be sent via SMS to their phone - as seen in the video demo above.

Conclusion

This pandemic has demonstrated the deadly impacts of misinformation in society. Our application ensures that visually impaired individuals can easily access verified information about the pandemic so that they can make as informed decisions about their health and safety as the rest of our society.

While our bot application is restricted to our local devices, we hope to expand the offerings of our app and enhance the capabilities of our chatbot in the future. We also hope to add more capabilities to our updating functionality so that at-risk groups (including the visually impaired) can be informed of ICU beds, COVID-19 deaths/cases per capita, etc.

Built With

Share this project:

Updates