SWASTYA_AI is an AI-powered pre-diagnostic healthcare assistant. It helps users quickly understand possible health conditions based on their symptoms, suggests basic remedies, and guides them toward professional medical advice—all before visiting a doctor. Using Naive Bayes and NLP (spaCy), the system predicts top probable diseases from user-entered symptoms.
- Natural language symptom input and extraction using spaCy NLP
- Prediction of top 3 probable diseases
- Lists associated symptoms for each disease
- User-friendly interface built with HTML, CSS, and JS
- Backend powered by Flask and a Naive Bayes model
- Frontend: HTML, CSS, JavaScript
- Backend: Flask (Python)
- ML Model: Naive Bayes Classifier
- NLP: spaCy
- Clone the repository:
git clone https://github.com/deepika2k24/SWASTYA_AI.git
cd SWASTYA_AI- Create and activate a virtual environment:
Windows:
python -m venv venv
venv\Scripts\activate- Install required packages:
pip install -r requirements.txt- Run the Flask application:
python app8.py- Open the app in your browser:
Go to: http://127.0.0.1:5000DEMO VIDEO:
swastyaai-video_Ht2vSPXz.mp4
We’d love your help in making SWASTYA_AI better! How to add:
- Fork this repository
- Create a branch, e.g.,
feature/your-feature - Commit with clear messages
- Push to your branch, create a Pull Request
- We’ll review and merge — thanks for collaborating!
⚖️ Licensed under the MIT License – applies to both the website code and related assets.
❤️ Made with care — advancing healthcare through collaboration and innovation.