It's the holiday season and people want a break from the stressful pandemic and staying at home regulations. Further data shows that COVID cases are exploding during the holiday season. The problem of helping people find safer spots to relax, travel reducing their risk of causing and contracting Covid inspired safespot.
Safespot asks user to enter the location they want to go to. This can be a restaurant, vacation spot or even just a walk down the park. SafeSpot then provides a safety score on a scale of 0-5. The safety score is calculated based on number of cases in the city, vaccine sentiment in the state, safety measures followed at the location (for instance, mask mandation and social distancing guidelines), and finally reviews scraped about the place from Yelp and Google.
The user can use this information to decide whether the place is safe to vacation amid the COVID circumstances.
We used Python Tweepy to scrape tweets related to COVID vaccine at state. We then used Flair and TextBlob libraries to perform sentiment analysis on the tweets. We used SQLite to store this information.
We used https://wextractor.com/ to scrape reviews of a particular location and performed sentiment analysis on these reviews. For a easier read, we summarized the reviews in the last month using torch and T5 model for abstractive summaries. Number of Covid Cases and Death at city: https://www.postman.com/explore/collection/6337/covidti-api
We used Google Maps API
We used REACT to develop the web framework which takes user entreated location as input and display information related to assess the COVID safety for that area. Flask was used to integrate frontend and backend.
- HTML/CSS
- Javascript
- React
- SQL
- Java
- Python
- Flask
- Django
- AI/Machine Learning