| 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 | |
| ## 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 📘](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 2 -Enter the symptoms. | |
|  | |
| #### STEP 3 -Click "Detect" button, and it will show the disease name, description of that disease, and what are the precautions for that. | |
|  | |