Link: https://healthbuddy-kzrq.onrender.com/predict
This project is a Disease Prediction and Health Advice system built using Flask, scikit-learn, and other Machine Learning Frameworks. It aims to help users identify potential diseases based on their symptoms and provides related health advice including precautions, medications, diets, and workouts.
- Predicts potential diseases based on symptoms entered by the user.
- Provides detailed information about the predicted disease including its description, precautions, medications, recommended diet, and workouts.
- Easy-to-use web interface.
- Heathcare Chatbot
- Uses machine learning model for prediction.
- Python
- Flask
- scikit-learn
- Pandas
- NumPy
- HTML
- CSS
- JavaScript
- Bootstrap
- Google Generative AI
- Gemini
- Docker
- Clone the repository:
git clone [email protected]:YugantGotmare/HealthBuddy.git cd HealthBuddy - Install dependencies:
pip install -r requirements.txt - Run the application:
python main.py - Open your web browser and go to http://localhost:5000 to access the application.
- Enter the symptoms you are experiencing into the input field on the homepage.
- Click on the "Predict" button.
- The system will display the predicted disease along with relevant information and health advice.
- Chatbot for any doubts/queries regarding any health problem.
HealthBuddy.mp4
This project is licensed under the MIT License.