A Flask-based Machine Learning web app for predicting multiple diseases including Diabetes, Lung Disease, Liver Disease, and Blood Pressure conditions.
This project allows users to:
- Enter medical parameters through an easy-to-use web form.
- Predict the likelihood of health conditions using trained ML models (Logistic Regression, Decision Tree, SVM).
- View real-time disease predictions instantly in the web app.
- Clone the Repository
git clone https://github.com/Madipadige-ManishKumar/Hand-Written-equation-solver.git
cd Hand-Written-equation-solver- Create a Python Virtual Environment (Optional but Recommended)
python -m venv venvActivate the virtual environment:
- Windows:
venv\Scripts\activate- macOS / Linux:
source venv/bin/activate- Install Dependencies
pip install -r requirements.txt
4. **Run the Flask App**
```bash
python wsgi.py
- This will start the flask server.
- Open your browser at the URL displayed in the terminal (usually
http://localhost:5000).
- ** How It Works**
-
- User inputs medical data (like glucose level, heart rate, enzyme levels, etc.)
-
- The system processes the data through trained ML models (Logistic Regression, Decision Tree, SVM)
-
- The model predicts the likelihood of the disease.
-
- The result is displayed instantly on the web interface.