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VacQ with a Chatbot

This project consists of two parts. VacQ (Flask Web App) that gives priority to user based on different features for COVID vaccine using ML model. A chatbot to solve user queries.

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VacQ with a Chatbot

This project consists of two parts. VacQ (Flask Web App) that gives priority to user based on different features for COVID vaccine using ML model. A chatbot to solve user queries.

The problem VacQ with a Chatbot solves

With the best scientific minds at work, the world is finally looking at the most anticipated vaccine. This gives rise to many more new questions about its distribution. Who should be immunized first to end this pandemic in the most effective manner ie with the least amount of casualties. Our aim is to determine the priority of various users based on their risk as 1,2 or 3.

The project also has a chatbot that is made using PyTorch and trained using neural networks that can answer basic queries related to coronavirus. Currently the chatbot runs in cmd but in future we plan to integrate them fully in a web app.

Challenges we ran into

Connecting the Chatbot to web app. Collecting Dataset.

Discussion