---
title: Disease Classifier
emoji: 🧑🏼‍⚕️😷
colorFrom: gray
colorTo: green
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
pinned: false
license: apache-2.0
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
## Disease_classifier_based_on_symptoms:
#### - Disease classification is a ML approach to predict or diagnose the disease using the symptoms.
#### - I have used Random Forest Classifier in this project and the UI is created using Streamlit.

## Links:
#### Hugging face: https://huggingface.co/spaces/30Kanika/disease-classifier 
#### Kaggle dataset of disease and it's symptoms: https://www.kaggle.com/datasets/karthikudyawar/disease-symptom-prediction

## Steps to use Hugging face:
#### STEP 1 -After you open the hugging face link ,it will ask you to enter the symptoms you are facing.
![step 1](https://user-images.githubusercontent.com/123890504/222238001-ab473183-6056-4d2f-a87a-f9c490ba9fdb.png)

#### STEP 2 -Enter the symptoms.
![step 2](https://user-images.githubusercontent.com/123890504/222238171-68a97333-dcb5-43f1-bc70-8ea57522858d.png)

#### STEP 3 -Click "Detect" button, and it will show the disease name, description of that disease, and what are the precautions for that.
![step3](https://user-images.githubusercontent.com/123890504/222238453-6156d98e-5e6f-46ac-9f12-3ddce025bd82.png)