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title: Disease Classifier | |
emoji: π§πΌββοΈπ· | |
colorFrom: gray | |
colorTo: green | |
sdk: streamlit | |
sdk_version: 1.17.0 | |
app_file: app.py | |
pinned: false | |
license: apache-2.0 | |
## 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 π€](https://huggingface.co/spaces/30Kanika/disease-classifier) | |
- #### [Kaggle dataset π](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) | |