Inspiration
It's obvious that we need a smart and approachable Q/A chatbot in this day and age of information overload. People look for effective means of gaining access to and understanding large volumes of data on a variety of subjects. Since health-related information is so important, it takes a committed effort to present accurate and pertinent facts. The goal behind this project is to bridge the gap between users and extensive, accurate information, creating a seamless conversational experience.
What it does
Access a vast repository of health-related data, meticulously scraped from reliable sources, ensuring a wealth of knowledge at your fingertips. Engage in natural and dynamic conversations with HealthBotWiki, leveraging enhanced NLP capabilities that understand and respond to user queries with precision.
How we built it
Using Streamlit , flask , python and LLM models
What we learned
How to use LLM models
Built With
- llm
- python
- streamlit
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