The objective is to develop a symptom-to-disease classification model for a natural language chatbot. This model takes input text such as "I am feeling vomiting, breathlessness, and sweating" and accurately identifies the associated disease (2 - 'Heart attack').

In essence, the chatbot's purpose is to analyze users' symptoms and provide relevant disease predictions in real-time conversation.

Labels:
0 - Fungal infection
1 - Diabetes
2 - Heart attack

Will add more diseases in coming days

Downloads last month
17
Safetensors
Model size
109M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.