(Three Modules delivered using Flask app)
- Trained 2 models ( Sequential neural network containing dense layers and LSTM based sequential model ) on combined data from scraped WHO site and general chatbot dataset using Tensorflow
- Implemented AutoML using Autokeras to find the best model for image classification of lung X-rays
- Scraping COVID-19 data from a Web-API and using Cosine Similarity to provide reliable statistics
- Clone the repo
- Create a virtual environment and activate it \
python -m venv venv
source venv/bin/activate
- Install requirements.txt
- Run:
python app.py
- Access the app at : http://localhost:5000/