web app that makes dining suggestions and allows for advanced searching based on different features. Tried to implement a restaurant classifier using the MonkeyLearn Platform based on restaurant reviews but accuracy rates are not as desired and classifier was not used on web app. The app has a special field for vendors to send message to subscribers using Twilio API.
Technologies used:
- Python 3
- Flask
- Postgres
- SQLAlchemy
- HTML
- Jinja
- Bootstrap
- Rollbar
Libraries used:
- Requests
- NLTK
- Spacy
API used:
- Twilio
- Google Places
Dataset used: Yelp Open Dataset (4,700,000 reviews / 156,000 businesses)
Types of testing:
- Unit testing
- Integration testing